Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068882
A. Laraqui, Kamal Azmi, Mohammed Laraqui
Transformation functions play a major role in mosaic images of different geometry. In this article, parametric global transformations, such as the similarity model, affine model and perspective projection model (projective model) are explored, and their performance in the mosaic of images with geometric differences are compared with respect to the execution time and registration quality. The approaches under study are tested on different types of images to deduce a scientific interpretation of results.
{"title":"IMAGE STITCHING BASED ON PARAMETRIC TRANSFORMATIONS","authors":"A. Laraqui, Kamal Azmi, Mohammed Laraqui","doi":"10.1109/ISACS48493.2019.9068882","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068882","url":null,"abstract":"Transformation functions play a major role in mosaic images of different geometry. In this article, parametric global transformations, such as the similarity model, affine model and perspective projection model (projective model) are explored, and their performance in the mosaic of images with geometric differences are compared with respect to the execution time and registration quality. The approaches under study are tested on different types of images to deduce a scientific interpretation of results.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128966284","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068885
M. Elhassani, A. Chillali, A. Mouhib
In this work, we will present a new hybrid cryptography method based on two hard problems: 1- The problem of the discrete logarithm on an elliptic curve defined on a finite local ring. 2- The closest vector problem in lattice and the conjugate problem on square matrices. At first, we will make the exchange of keys to the Diffie-Hellman. The encryption of a message is done with a bad basis of a lattice.
{"title":"Elliptic curve and Lattice cryptosystem","authors":"M. Elhassani, A. Chillali, A. Mouhib","doi":"10.1109/ISACS48493.2019.9068885","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068885","url":null,"abstract":"In this work, we will present a new hybrid cryptography method based on two hard problems: 1- The problem of the discrete logarithm on an elliptic curve defined on a finite local ring. 2- The closest vector problem in lattice and the conjugate problem on square matrices. At first, we will make the exchange of keys to the Diffie-Hellman. The encryption of a message is done with a bad basis of a lattice.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606124","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068863
H. Zaaraoui, S. El Kaddouhi, M. Abarkan
This paper proposes a novel approach to face recognition using freeman chain code as a feature extractor for face representation, and the nearest neighbor classifier for face matching. The face description stage starts with resizing, and then dividing the face image into non-overlapping sub-regions, then a set of chains (words) are extracted from each region, and assigned later into the nearest word in a Dictionary of Visual Words (DoVW). As a result, each patch is represented by a histogram of visual words. Finally, the histograms are assembled into one to describe the face image. Unlike the most of the existing methods, which require a mask around the treated pixel, our methodology depends on directional changes from the starting pixel, which allow us to obtain information on the local and also the more global structures. The face matching is performed by using the nearest neighbor classifier with Hellinger, Cosine, or Chi-square as the distances measure between histograms. Experimental results show which metrics perform well and demonstrate the efficiency of the proposed approach in terms of recognition rate compared to the other face recognition methods.
{"title":"A novel approach to face recognition using freeman chain code and nearest neighbor classifier","authors":"H. Zaaraoui, S. El Kaddouhi, M. Abarkan","doi":"10.1109/ISACS48493.2019.9068863","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068863","url":null,"abstract":"This paper proposes a novel approach to face recognition using freeman chain code as a feature extractor for face representation, and the nearest neighbor classifier for face matching. The face description stage starts with resizing, and then dividing the face image into non-overlapping sub-regions, then a set of chains (words) are extracted from each region, and assigned later into the nearest word in a Dictionary of Visual Words (DoVW). As a result, each patch is represented by a histogram of visual words. Finally, the histograms are assembled into one to describe the face image. Unlike the most of the existing methods, which require a mask around the treated pixel, our methodology depends on directional changes from the starting pixel, which allow us to obtain information on the local and also the more global structures. The face matching is performed by using the nearest neighbor classifier with Hellinger, Cosine, or Chi-square as the distances measure between histograms. Experimental results show which metrics perform well and demonstrate the efficiency of the proposed approach in terms of recognition rate compared to the other face recognition methods.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"272 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122831334","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}
Sentiment analysis holds an important place in Natural Language Processing (NLP) due to its utility in resolving different issues in many fields such as e-commerce, politic sciences, social media analysis, cybersecurity, etc. In fact, most of the work done in the field has been dedicated to the sentiment of English texts. However, adapting research findings to the Arabic language and its dialects is not trivial because of their linguistic features. In this work, we apply two supervised methods, namely, Deep Learning and Support Vector Machines (SVM), for sentiment analysis of Modern Arabic and the Algerian dialect. These methods have been applied on a huge annotated dataset collected from different Arabic Algerian sources. Findings are showing promising results in sentiment analysis of the Arabic Algerian dialect.
{"title":"Sentiment Analysis of Arabic Algerian Dialect Using a Supervised Method","authors":"Adel Abdelli, Fayçal Guerrouf, Okba Tibermacine, Belkacem Abdelli","doi":"10.1109/ISACS48493.2019.9068897","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068897","url":null,"abstract":"Sentiment analysis holds an important place in Natural Language Processing (NLP) due to its utility in resolving different issues in many fields such as e-commerce, politic sciences, social media analysis, cybersecurity, etc. In fact, most of the work done in the field has been dedicated to the sentiment of English texts. However, adapting research findings to the Arabic language and its dialects is not trivial because of their linguistic features. In this work, we apply two supervised methods, namely, Deep Learning and Support Vector Machines (SVM), for sentiment analysis of Modern Arabic and the Algerian dialect. These methods have been applied on a huge annotated dataset collected from different Arabic Algerian sources. Findings are showing promising results in sentiment analysis of the Arabic Algerian dialect.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526129","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068899
A. El Hassani, Brahim Ait Skourt, A. Majda
Computer Aided Diagnosis (CAD) systems are often used during Today's medical practicality. It helps the physician to perform an accurate detection and diagnosis of Lung Pathologies. Lung CT image segmentation is a prerequisite in lung CT analysis. In this paper we proposed an automated hybrid method for lung segmentation based on both mathematical morphology and the region growing algorithm. the seed points are selected automatically without any user interaction. Also, the structuring element used in mathematical morphology operation is dynamic and it changes its shape and parameters according to the input 2D lung CT slices.
{"title":"Efficient Lung CT Image Segmentation using Mathematical Morphology and the Region Growing algorithm","authors":"A. El Hassani, Brahim Ait Skourt, A. Majda","doi":"10.1109/ISACS48493.2019.9068899","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068899","url":null,"abstract":"Computer Aided Diagnosis (CAD) systems are often used during Today's medical practicality. It helps the physician to perform an accurate detection and diagnosis of Lung Pathologies. Lung CT image segmentation is a prerequisite in lung CT analysis. In this paper we proposed an automated hybrid method for lung segmentation based on both mathematical morphology and the region growing algorithm. the seed points are selected automatically without any user interaction. Also, the structuring element used in mathematical morphology operation is dynamic and it changes its shape and parameters according to the input 2D lung CT slices.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126195422","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068912
Abdesselam Bougdira, I. Akharraz, A. Ahaitouf
A traceability tool is an asset to the supply chain, especially the food one. The supply chain involves various sources of data, which is essential for effective traceability. Hence, a traceability system should overcome the heterogeneous data integration issue. Therefore, this paper introduces an ontology that formalizes the traceability tasks and surroundings elements to exchange information. Thus, this article describes the main features of an Intelligent Traceability Ontology (ITO). This ontology represents the main relationships between traceability activities and the entities involved in these activities. Moreover, this modeling can be used not only for tracing and tracking product information but also for supervising the product's environment parameters.
{"title":"ITO: Intelligent Traceability Ontology","authors":"Abdesselam Bougdira, I. Akharraz, A. Ahaitouf","doi":"10.1109/ISACS48493.2019.9068912","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068912","url":null,"abstract":"A traceability tool is an asset to the supply chain, especially the food one. The supply chain involves various sources of data, which is essential for effective traceability. Hence, a traceability system should overcome the heterogeneous data integration issue. Therefore, this paper introduces an ontology that formalizes the traceability tasks and surroundings elements to exchange information. Thus, this article describes the main features of an Intelligent Traceability Ontology (ITO). This ontology represents the main relationships between traceability activities and the entities involved in these activities. Moreover, this modeling can be used not only for tracing and tracking product information but also for supervising the product's environment parameters.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"2010 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125633826","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068887
Kossir Taoufik, Ouriagli Mohammed
This article deals with the problem of serious game design. The subject is analyzed according to two types of models: generic and detailed. A state of the art of six important models (MAGIC BULLET, DICE, LEGADEE, Moppliq, ATMSG, DISC) is presented firstly. A comparative study of the models is then carried out in two steps: a first step concerns generic models and a second step concerns models offering a more detailed design process, which was carried out according to factors affecting the quality of the design process.
{"title":"Models of serious games design between generic and detailed approach","authors":"Kossir Taoufik, Ouriagli Mohammed","doi":"10.1109/ISACS48493.2019.9068887","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068887","url":null,"abstract":"This article deals with the problem of serious game design. The subject is analyzed according to two types of models: generic and detailed. A state of the art of six important models (MAGIC BULLET, DICE, LEGADEE, Moppliq, ATMSG, DISC) is presented firstly. A comparative study of the models is then carried out in two steps: a first step concerns generic models and a second step concerns models offering a more detailed design process, which was carried out according to factors affecting the quality of the design process.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133046435","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068901
Abderrahmane Ed-daoudy, K. Maalmi
Heart disease is one of the most prominent and dangerous diseases that threaten public health around the world, often leading to heart attacks and strokes. More recently, the amount of heart disease patients under supervision has been increasing significantly owing to lack of awareness and lifestyle related factors affecting health. There is therefore a need to ensure an effective and scalable solution to effectively find and prevent the heart disease within a short and very specific timeline. At this stage, the performance of four well-known classification algorithms; SVM, Decision Tree, Random Forest and Logistic Regression was evaluated for prediction of heart disease using Apache Spark, a fast and general engine for big data processing with its machine learning library, MLlib for batch data processing. The overall performance comparison was assessed in terms of prediction accuracy, building time and prediction time. Experimental results on processed cleveland data from heart disease dataset show that the highest classification accuracy of 87.50 % was reported using Random Forest with sensitivity and specificity of 86.67 and 88.37 %, respectively. On the other hand, the fast algorithm will be logistic regression.
{"title":"Performance evaluation of machine learning based big data processing framework for prediction of heart disease","authors":"Abderrahmane Ed-daoudy, K. Maalmi","doi":"10.1109/ISACS48493.2019.9068901","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068901","url":null,"abstract":"Heart disease is one of the most prominent and dangerous diseases that threaten public health around the world, often leading to heart attacks and strokes. More recently, the amount of heart disease patients under supervision has been increasing significantly owing to lack of awareness and lifestyle related factors affecting health. There is therefore a need to ensure an effective and scalable solution to effectively find and prevent the heart disease within a short and very specific timeline. At this stage, the performance of four well-known classification algorithms; SVM, Decision Tree, Random Forest and Logistic Regression was evaluated for prediction of heart disease using Apache Spark, a fast and general engine for big data processing with its machine learning library, MLlib for batch data processing. The overall performance comparison was assessed in terms of prediction accuracy, building time and prediction time. Experimental results on processed cleveland data from heart disease dataset show that the highest classification accuracy of 87.50 % was reported using Random Forest with sensitivity and specificity of 86.67 and 88.37 %, respectively. On the other hand, the fast algorithm will be logistic regression.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121228890","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068906
H. Essaoudi, A. Essahlaoui
The corona discharge poling of a crosslinked epoxy polymers film was experimentally investigated. Besides the thermal analysis and the optimisation of poling parameters (temperature and voltage poling) of these systems, the reticulation of the polymer film, which is necessary for the orientation stabilisation after poling, was also studied using UV-visible analysis.
{"title":"Optimisation of poling conditions of the crosslinked polymers for nonlinear optical applications","authors":"H. Essaoudi, A. Essahlaoui","doi":"10.1109/ISACS48493.2019.9068906","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068906","url":null,"abstract":"The corona discharge poling of a crosslinked epoxy polymers film was experimentally investigated. Besides the thermal analysis and the optimisation of poling parameters (temperature and voltage poling) of these systems, the reticulation of the polymer film, which is necessary for the orientation stabilisation after poling, was also studied using UV-visible analysis.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123672213","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}
Pub Date : 2019-12-01DOI: 10.1109/ISACS48493.2019.9068904
Bahia Dris, Barkani Jamal
This paper is devoted to the numerical study of two-dimensional systems of conservation laws describing unsteady flows, supersonic, compressible and turbulent. The structured grids finite volume method is adopted here as well as the algebraic model of Baldwin and Lomax is used for the modelling of eddy viscosity. This model of turbulence was examined on two applications: the isothermal flat plate and the compression corner of 10°.
{"title":"Numerical Modelling Of The Interaction Shock / Turbulent Boundary Layer For A Compressible Supersonic Flow","authors":"Bahia Dris, Barkani Jamal","doi":"10.1109/ISACS48493.2019.9068904","DOIUrl":"https://doi.org/10.1109/ISACS48493.2019.9068904","url":null,"abstract":"This paper is devoted to the numerical study of two-dimensional systems of conservation laws describing unsteady flows, supersonic, compressible and turbulent. The structured grids finite volume method is adopted here as well as the algebraic model of Baldwin and Lomax is used for the modelling of eddy viscosity. This model of turbulence was examined on two applications: the isothermal flat plate and the compression corner of 10°.","PeriodicalId":312521,"journal":{"name":"2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128558357","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}