{"title":"Investigation of the phase importance in \"LF model\"","authors":"A. B. Aicha","doi":"10.1109/ATSIP.2018.8364515","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364515","url":null,"abstract":"For many real speech applications such as speech synthesis, speech conversion it is essential to reproduce the glottal flow as close as possible to the real glottal flow in order to synthetize a natural speech. In the literature, glottal flow model such as Liljencrants-Fant (LF) synthetize the glottal flow using mathematical expressions. Generally, the synthetized glottal flow are nicely smoothed and do not follow the dynamic of the real glottal flow. The common point for all synthesis methods is the non-consideration of the glottal flow phase. In this framework, we propose to investigate the importance of the phase on the glottal flow synthesis. The non-natural behavior of the phase of the synthesized glottal flow is discus. Then, a new method to synthesis the glottal flow is presented introducing the phase component. Experimental results show the validity of the proposed idea.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131210535","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}
{"title":"ADF based anisotropic diffusion model applied to radiography image enhancement","authors":"M. B. Gharsallah, E. B. Braiek","doi":"10.1109/ATSIP.2016.7523075","DOIUrl":"https://doi.org/10.1109/ATSIP.2016.7523075","url":null,"abstract":"Weld joints quality control with radiography technique is widely used. Unfortunately, the poor quality of these images and the presence of various kind of noise make processing of radiography film an intricate task. This paper presents a new anisotropic diffusion filtering method for radiography image noise reduction and sharpening. The proposed diffusion scheme is guided with the adaptive diffusion flow vector ADF. The use of the ADF vector flow permits to preserve perfectly weak image boundaries while removing noise. Experimental results on different synthetic and real welding radiography images confirm the efficiency and robustness of our model in comparison with other diffusion methods.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122232528","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}
{"title":"Features based on quasi-sinudoidal modeling for tremor detection in Parkinsonian voice","authors":"A. B. Rhouma, S. B. Jebara","doi":"10.1109/ATSIP.2014.6834651","DOIUrl":"https://doi.org/10.1109/ATSIP.2014.6834651","url":null,"abstract":"This paper aims defining features to characterize Parkinsonian voice affected by tremor. It uses quasi-sinusoidal modelling of signals which assumes that speech signal is a sum of sinusoids with time-linearly varying instantaneous amplitudes and frequencies permits. The parameters of this model are calculated and their behavior is analyzed. The statistical analysis using box-plots permits to show the ability of this model to discriminate the Parkinsonian voice from the healthy voice.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129129605","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}
{"title":"Suspicious Local Event Detection in Social Media and Remote Sensing: Towards a Geosocial Dataset Construction","authors":"Marwen Bouabid, Mohamed Farah, I. Farah","doi":"10.1109/ATSIP49331.2020.9231798","DOIUrl":"https://doi.org/10.1109/ATSIP49331.2020.9231798","url":null,"abstract":"Remote sensing is a powerful technology for earth observation. However, the spatial, spectral, and temporal resolution of the imagery are imposing various limits. Lately, with the rise of the internet and smart mobile devices, social media with location-based information has been rapidly emerging. These circumstances led to the prevailing of new scenarios where fine-grained details of social bookmarking websites are enhanced with the wide coverage of satellites. Social media and satellites are both valuable sources of data. An event-driven data, designating either normal common events or unusual suspicious ones that may threaten human lives or damage the infrastructure. In this paper, we provide an insight into the present state of knowledge to better address the task of local suspicious event detection and linking social media with satellite imagery. Also, to track suspicious local events, we treated the detection problem as a retrospective problem by training different classifiers on the crisisLexT26 dataset. Furthermore, we introduced how to use the available geo-locations in the dataset to construct a geo-social dataset by linking it with remote sensing and retrieving satellite imagery before and after the event occurrence.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122914646","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}
Fadwa Saada, David Delouche, F. Kratz, K. Chabir, M. Abdelkrim
{"title":"Identification of the dynamic parameters of the planar robot model at 2 degrees of freedom using the least squares method","authors":"Fadwa Saada, David Delouche, F. Kratz, K. Chabir, M. Abdelkrim","doi":"10.1109/ATSIP55956.2022.9805908","DOIUrl":"https://doi.org/10.1109/ATSIP55956.2022.9805908","url":null,"abstract":"The designation of dynamic parameters of robots is generally based on the use of the inverse model which is linear with respect to the dynamic parameters to be identified. In order to obtain an undetermined system, this model is sampled while the robot is driven with exciting movements. The optimum solution is obtained using the least linear squares. Moreover, the identification is carried out in a closed loop due to the unstable double integrator character of the robots. This paper focuses on this technique and proposes an extension of this method which is applied to a robot with 2 degrees of freedom in the plane.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298656","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}
{"title":"A new SMS encryption algorithm based on hyperchaotic system","authors":"W. Ayadi, H. Seddik","doi":"10.1109/ATSIP.2016.7523059","DOIUrl":"https://doi.org/10.1109/ATSIP.2016.7523059","url":null,"abstract":"Encryption is an outstanding way that professionals and unprofessional rely on to protect their fragile data mobile devices. Nowadays, we notice a high trend of mobile devices usage whether on a professional or daily basis. Hence, the security of the exchanged and saved data in our smartphones, tablets, laptops etc. is a leading case for both user and producer. As the majority of SMS encryption applications use standard cryptographic algorithms, they fall victims, then, of cryptanalysis and classical attacks. In this context, this paper sheds light on the development of a new SMS encryption algorithm. The proposed scheme is based on a hyper chaotic system. It offers high security with a good encryption/decryption time on a mobile device. By the end of this paper, we will present the evaluation of results and security.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125510773","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}
{"title":"Numerical study of the behavior of the electromagnetic field its relation to the energy absorbed by a human head exposed to a radiofrequency (RF) source application: the cellular","authors":"Lazhar Bouali, M. Djennah, R. Tahmi","doi":"10.1109/ATSIP55956.2022.9805944","DOIUrl":"https://doi.org/10.1109/ATSIP55956.2022.9805944","url":null,"abstract":"In this part of our modest work, we have numerically studied the behaviour of the electric and magnetic field interior the human head exposed to an RF (cellular) source. For this study, an electromagnetic field coupling was established between an RF source and the human head. to solve the system of equations a finite element formulation coupled with the boundary integral formulation which is adopted, the results obtained are presented in the form of arrows with colors depending on the intensity of the electric field ⃗. From where we can calculate the intensity of the electric field interior the human head, which allows us it possible to calculate the electromagnetic energy absorbed by the human head from where we can also calculate the SAR interior the human head, and make a comparison with the SAR measured at the edge of the human head, and finally the proposal of a solution for the minimization of the energy absorbed by the human head with the introduction of an interface between the human head and the RF source, and a well determined the clear selection of interface materials has been done.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116225845","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}
{"title":"Generating a hyper-chaotic system from 3D chaotic behaivor","authors":"Hajer Thabet, H. Seddik","doi":"10.1109/ATSIP.2016.7523056","DOIUrl":"https://doi.org/10.1109/ATSIP.2016.7523056","url":null,"abstract":"In the past studies, researchers have always produced new hyper-chaotic systems without explaining how to add the fourth equation in the 3D system. In this paper, we are interested in searching a link between the 3D and 4D system through which it designs a hyper-chaotic system 4D. We have constructed new hyper-chaotic systems by adding another state variable in the chaotic dynamical systems to the three dimensions which were developed by Lorenz [1], Lü [2] and Rossler [3]. The development of the proposed systems is achieved through a combination of computer simulation via Matlab and mathematical analysis to find the hyper-chaotic attractors and the Lyapunov exponents.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115629919","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}
Wafa Baccouch, S. Oueslati, B. Solaiman, S. Labidi
{"title":"Automatic delineation of left ventricle contours in MRI using deep learning","authors":"Wafa Baccouch, S. Oueslati, B. Solaiman, S. Labidi","doi":"10.1109/ATSIP55956.2022.9805889","DOIUrl":"https://doi.org/10.1109/ATSIP55956.2022.9805889","url":null,"abstract":"Delineation of Left Ventricle (LV) contours is a common task in the clinical diagnosis of cardiac abnormalities. This step is crucial, especially in Cardiac Magnetic Resonance Imaging (CMRI), as it allows to estimate important parameters for the quantification of cardiac contractile function such as cardiac volumes allowing calculation of the Ejection Fraction (EF) and myocardial thickening. The aim of this paper is to optimize and adapt the standard U-net architecture to our 2D cardiac Cine-MRI database in order to perform LV contours extraction automatically. The proposed method has been validated and tested on 70 patients with various cardiac pathologies. The obtained results show a great concordance between the ground truth and predicted segmentation with a mean Dice Similarity Coefficient (DSC) and Hausdorff Distance (HD) which reach 97.22% and 6.192 mm respectively at the end diastolic phase. These metric coefficients reach 93.5% and 8.679 mm respectively at the end systolic phase. The comparison results prove that the adopted method is likely to be considered as an effective tool for fully automatic LV segmentation.","PeriodicalId":145369,"journal":{"name":"International Conference on Advanced Technologies for Signal and Image Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114888141","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}