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2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)最新文献

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Small cell switch off using genetic algorithm 小细胞通过遗传算法关闭
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075586
Yasmina El Morabit, F. Mrabti, E. Abarkan
{"title":"Small cell switch off using genetic algorithm","authors":"Yasmina El Morabit, F. Mrabti, E. Abarkan","doi":"10.1109/ATSIP.2017.8075586","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075586","url":null,"abstract":"The densification of small cells in heterogeneous cellular networks is one of the main approaches of 5G technology that aim to fulfill the growth of traffic demand. However, this densification leads to increase total energy consumption of the network. One way to save energy is to switch off some underutilized cells during low traffic periods. In order to address this problem, we propose dynamic switch off cell scheme based on the genetic algorithm to optimize and improve the energy efficiency by considering diverse parameters for each small cell in the decision process such as: the load traffic of the cell, load traffic of neighboring cells and the coverage provided by the multiple interfering small cells. The simulation result showed that our approach allows to save up to 10.87% more energy of total network energy consumption.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126710198","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
A new designed descriptor for road sign recognition 一种新的道路标志识别描述符
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075547
Ayoub Ellahyani, Mohamed El Ansari
{"title":"A new designed descriptor for road sign recognition","authors":"Ayoub Ellahyani, Mohamed El Ansari","doi":"10.1109/ATSIP.2017.8075547","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075547","url":null,"abstract":"Road sign recognition (RSR) systems are one of the main tasks of intelligent transportation systems (ITS). These systems employ vehicle mounted cameras to identify traffic signs while driving on the road. Their primary function is to inform the driver of recent traffic signs that may have been missed due to distraction or inattentiveness. In this work, a new method for road sign detection and recognition is proposed. The proposed approach is divided into three stages: first, a color segmentation method is used to extract regions of interest (ROIs). Then, we refer to polygonal approximation technique to detect triangular, rectangular, and circular shapes. The last stage aims at recognizing the detected signs using a new designed feature and SVM classifier. The proposed approach was tested on two publicly available datasets, and the results obtained are satisfying compared to the state-of-the-art methods.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127580435","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: 8
Leak detection in water pipeline by means of pressure measurements for WSN 基于压力测量的WSN供水管道泄漏检测
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075604
A. Ayadi, Oussama Ghorbel, A. Obeid, M. BenSaleh, M. Abid
{"title":"Leak detection in water pipeline by means of pressure measurements for WSN","authors":"A. Ayadi, Oussama Ghorbel, A. Obeid, M. BenSaleh, M. Abid","doi":"10.1109/ATSIP.2017.8075604","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075604","url":null,"abstract":"During the last decade, many types of research have put prominence on the potential feasibility and sustainable management of water pipeline leakage. Unlike the traditional methods, using wireless sensors networks is greatly helpful in terms of high performance, low cost and simple exploitation. However, many researchers have concentrated their efforts on solutions based on WSNs for pipeline monitoring in relation to sensing techniques, mathematical formulation, reading acquisition techniques, and information processing methods. This study investigates various leakage detection formulations based on WSN in order to identify, locate and estimate the leak size. In addition, a computerized techniques based on the analysis of pressure measurement in water distribution system is presented to find the defective pipe.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128122875","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: 12
Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches 基于c波段SAR图像的地面风速检索综述:经验和电磁方法
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075512
Tran Vu La, A. Khenchaf, F. Comblet, C. Nahum
{"title":"Overview of surface wind speed retrieval from C-band SAR images: Empirical and electromagnetic approaches","authors":"Tran Vu La, A. Khenchaf, F. Comblet, C. Nahum","doi":"10.1109/ATSIP.2017.8075512","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075512","url":null,"abstract":"In spite of the difference in description, it is reasonable to compare sea surface wind speed estimates based on empirical (EP) and electromagnetic (EM) approaches, since both of them describe the relation between radar backscattering and wind parameters, directly for EP models and via sea surface roughness spectrum for EM models. For EP approach, two methods are presented for wind speed estimation: scatterometry and model without wind direction input. For EM approach, the approximation models, i.e. small-slope approximation (SSA) and resonant curvature approximation (RCA), are presented since they can calculate radar backscattering close to that given by the EP models. The comparison between EP and EM models demonstrate that estimated wind speeds by two approaches are quite similar, especially for radar incidence angles below 40°.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128543177","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
FPGA-based secondary on-board computer system for low-earth-orbit nano-satellite 基于fpga的低地球轨道纳米卫星二次星载计算机系统
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075514
A. Hanafi, M. Karim, I. Latachi, T. Rachidi, S. Dahbi, S. Zouggar
{"title":"FPGA-based secondary on-board computer system for low-earth-orbit nano-satellite","authors":"A. Hanafi, M. Karim, I. Latachi, T. Rachidi, S. Dahbi, S. Zouggar","doi":"10.1109/ATSIP.2017.8075514","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075514","url":null,"abstract":"This paper presents a System-on-Chip approach (SoC), exploiting the availability and capacity of SRAM-based FPGA technology to design and implement an on-board computer system (OBC) for use in low earth orbit (LEO) nano-satellite. This work is part of a University project that aims to develop the first Moroccan university nano-satellite based on the “CubeSat” standard. As such, the proposed OBC is designed to provide a payload and a testbed for space-based reconfigurable platform. The hardware and software reconfigurable architecture of the system is based on Xilinx's Spartan-6 FPGA. The proposed design of the OBC takes into account the constraints inherent to space environment (sensitivity to ionizing radiation), and uses mitigation techniques that combine hardware and software redundancy to improve system availability and reliability. The paper also presents the guidelines for possible implementation.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127836252","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: 10
3D objects descriptors methods: Overview and trends 三维对象描述方法:概述和趋势
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075559
Jihad H'roura, A. Bekkari, D. Mammass, Ali Bouzit, A. Mansouri, Michaël Roy, Gaëtan Le Goïc
{"title":"3D objects descriptors methods: Overview and trends","authors":"Jihad H'roura, A. Bekkari, D. Mammass, Ali Bouzit, A. Mansouri, Michaël Roy, Gaëtan Le Goïc","doi":"10.1109/ATSIP.2017.8075559","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075559","url":null,"abstract":"Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches have been proposed. In this paper we present an overview of the current trend in 3D objects recognition and describe some representative state of the art methods, highlighting their limits and complexity.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117141329","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
Computer-aided diagnosis systems for detecting intracranial aneurysms using 3D angiographic data sets: Review 利用三维血管造影数据集检测颅内动脉瘤的计算机辅助诊断系统:综述
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075568
Halima El Hamdaoui, M. Maaroufi, B. Alami, N. Chaoui, S. Boujraf
{"title":"Computer-aided diagnosis systems for detecting intracranial aneurysms using 3D angiographic data sets: Review","authors":"Halima El Hamdaoui, M. Maaroufi, B. Alami, N. Chaoui, S. Boujraf","doi":"10.1109/ATSIP.2017.8075568","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075568","url":null,"abstract":"Brain aneurysm or intracranial aneurysm is an abnormal dilatation of the cerebral arteries. Detecting unruptured aneurysm remains a challenging task. Indeed, it is complicated and time-consuming for neuroradiologists to detect intracranial aneurysm due to complexity of cerebral vascular anatomy. To solve this problem, computer-aided diagnosis (CAD) approach has become a main tool to assist neuroradiologistsW to interpret unclear findings of aspects mimicking aneurysms. In this paper, we review the state of the art on CAD systems for detecting intracranial aneurysm with an emphasis on highlighting advantages. Hence, various approaches were used in this field. A discussion and conclusion on future possibilities of CAD methodologies for detecting intracranial aneurysm will be produced.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122633562","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
Two-dimensional discrete wavelets transform for optical phase gradient extraction in interferometry shearing 二维离散小波变换用于干涉剪切光学相位梯度提取
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075566
Ghlaifan Abdulatef, Tounsi Yassine, Nassim Abdelkrim
{"title":"Two-dimensional discrete wavelets transform for optical phase gradient extraction in interferometry shearing","authors":"Ghlaifan Abdulatef, Tounsi Yassine, Nassim Abdelkrim","doi":"10.1109/ATSIP.2017.8075566","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075566","url":null,"abstract":"In this paper, we present a method for phase gradient evaluation based on two-dimensional discrete wavelets transform decomposition in digital speckle shearing interferometry. From only fringe shearing and using a simple median filter to smooth the fringe, the phase gradient distribution is extracted by the ratio between detail and approximation. Modulation process is realized digitally by combining a computer generated greeting with two shifted fringe pattern. We propose to use only single fringe and generate its quadrature by spiral phase transform SPT. Then, we apply the 2D-DWT algorithm on modulated fringe shearing, phase gradient computed by a standard phase unwrapping algorithm with a good accuracy and we show by image quality index a good performance","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123310026","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 proposed computer-aided diagnosis system for Parkinson's disease classification using 123I-FP-CIT imaging 基于123I-FP-CIT影像的帕金森病分类计算机辅助诊断系统
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075510
A. Brahim, L. Khedher, J. Górriz, J. Ramírez, H. Toumi, E. Lespessailles, R. Jennane, M. Hassouni
{"title":"A proposed computer-aided diagnosis system for Parkinson's disease classification using 123I-FP-CIT imaging","authors":"A. Brahim, L. Khedher, J. Górriz, J. Ramírez, H. Toumi, E. Lespessailles, R. Jennane, M. Hassouni","doi":"10.1109/ATSIP.2017.8075510","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075510","url":null,"abstract":"This paper presents a fully automatic computer aided diagnosis (CAD) system for the classification of Parkinson's disease (PD) by means of functional imaging, such as, the single photon emission computed tomography (SPECT). Firstly, in the preprocessing step, Histogram Equalization (HE) is applied on all the 3D SPECT image data. Secondly, HE is applied on the so-called non-specific (NS) region, as reference region. Then, the normalized images are modelled using Principal Component Analysis (PCA). Thus, for each subject, its scan is represented by a few components. These resulting features will be used for the classification task. The proposed system has been tested on a 269 image database from the Parkinson Progression Markers Initiative (PPMI). Classification rate of 92.63% is achieved, which has proved the robustness and the productiveness of the proposed CAD system in PD pattern detection. In addition, the PCA based feature extraction approach significantly improves the baseline Voxels-as-Features (VAF) method, used as an approximation of the visual analysis. Finally, the proposed aided diagnosis system outperforms several other recently developed PD CAD systems.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130756687","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: 7
Accelerated encryption algorithms for secure storage and processing in the cloud 云端安全存储和处理的加速加密算法
2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI: 10.1109/ATSIP.2017.8075572
A. Badii, Ryan Faulkner, Rajkumar K. Raval, C. Glackin, G. Chollet
{"title":"Accelerated encryption algorithms for secure storage and processing in the cloud","authors":"A. Badii, Ryan Faulkner, Rajkumar K. Raval, C. Glackin, G. Chollet","doi":"10.1109/ATSIP.2017.8075572","DOIUrl":"https://doi.org/10.1109/ATSIP.2017.8075572","url":null,"abstract":"The objective of this paper is to outline the design specification, implementation and evaluation of a proposed accelerated encryption framework which deploys both homomorphic and symmetric-key encryptions to serve the privacy preserving processing; in particular, as a sub-system within the Privacy Preserving Speech Processing framework architecture as part of the PPSP-in-Cloud Platform. Following a preliminary study of GPU efficiency gains optimisations benchmarked for AES implementation we have addressed and resolved the Big Integer processing challenges in parallel implementation of bilinear pairing thus enabling the creation of partially homomorphic encryption schemes which facilitates applications such as speech processing in the encrypted domain on the cloud. This novel implementation has been validated in laboratory tests using a standard speech corpus and can be used for other application domains to support secure computation and privacy preserving big data storage/processing in the cloud.","PeriodicalId":259951,"journal":{"name":"2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565749","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
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