2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)最新文献_第7页

A Medical Image Encryption Scheme Based on a Modified CKBA 基于改进CKBA的医学图像加密方案

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955748

Yousra Sadou, S. Dib, M. Grimes

引用次数: 1

A Genetic Algorithm for tasks allocation and sequencing in a human robot assembly system 人-机器人装配系统中任务分配与排序的遗传算法

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955749

Soraya Izghouti, M. Gaham, B. Bouzouia, M. Mansour

{"title":"A Genetic Algorithm for tasks allocation and sequencing in a human robot assembly system","authors":"Soraya Izghouti, M. Gaham, B. Bouzouia, M. Mansour","doi":"10.1109/SSD54932.2022.9955749","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955749","url":null,"abstract":"Due to the increased productivity and flexibility requirements of production lines, research and industry are increasingly interested in the integration of collaborative human-robot systems (CHR) within flexible assembly lines; which will allow combining human and robotic capabilities. In this work, we focused on the design of a control system that enables the planning / coordination of human-robot collaboration (CHR) tasks. The system is based on an optimization process that resolves the affectation and the sequencing problem (permutation of tasks) between the robot and operator. Considering that Tree-based assembly tasks constraints must to be taken into account during the resolution, a novel encoding-based genetic algorithm is proposed for the resolution of the problem. In the proposed method, the genetic algorithm is implemented using an indirect (non-permutation) encoding scheme and a dedicated evaluation mechanism that avoid from any kind of solution repair after recombination operators. Preliminary results validate the approach on generated benchmarking instances","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125094411","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

Investigation of Modeling and Control of a Grid Side System based DFIG for a Wind Turbine Machine 基于DFIG的风电机组电网侧系统建模与控制研究

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955842

Abdelmoumen Saci, L. Cherroun, M. Boudiaf

引用次数: 1

An Optimal PSO-Based Fuzzy Controller for a Nonlinear System 非线性系统的最优pso模糊控制器

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955972

Khayreddine Saidi, A. Boumédiène, Diamila Boubekeur, Sarra Massoum

引用次数: 0

Control of the Lateral and Longitudinal Dynamics of UAV Quadcopter 无人机四轴飞行器的横向和纵向动力学控制

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955808

Yasmine Zamoum, K. Baiche, Khaled Mohammed Benkada, Mohammed Rahou, R. Boushaki, A. Kouzou

引用次数: 1

Investigate the Performace of Torque Distribution Strategy in Dual Electric Vehicle 双动力汽车转矩分配策略性能研究

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955965

I. Benmiloud, K. Kouzi, A. Ameur

引用次数: 0

8x30 Gbps RZ-RoF-WDM System Using Optical DSB-SC For Long-Distance Networks 基于光DSB-SC的8x30 Gbps RZ-RoF-WDM系统

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955776

A. Fares, K. Saouchi, F. Brik, Nadira Boukhatem

引用次数: 0

Joint Dereverberation and Separation of Reverberant Speech Mixtures 混响混合语音的联合消噪与分离

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955829

M. Kemiha, A. Kacha, L. Chouikhi

{"title":"Joint Dereverberation and Separation of Reverberant Speech Mixtures","authors":"M. Kemiha, A. Kacha, L. Chouikhi","doi":"10.1109/SSD54932.2022.9955829","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955829","url":null,"abstract":"This paper proposes a joint dereverberation and separation method for speech mixtures. In the literature, several studies consider the problems of blind separation and blind dereverberation as two separate problems and propose a solution to each problem. The dereverberation method consists to estimate the log of maximum likelihood parameter which depends on three parameters. So the reverberation algorithm returns to jointly maximize the likelihood function. The bivariate empirical mode decomposition (BEMD) algorithm combined with complex independent component analysis by entropy bound minimization (ICA-EBM) technique is proposed as an alternative to separate convolutive mixtures of speech signals reverberant environnement. The proposed algorithm is considered as a connection in tandem of the dereverberation network and separation network to estimate the source signals. The performance of the proposed approach is tested on real speech sounds chosen from available databases. Two sets of room impulse responses with reverberation times of 0.3 and 0.5 s, with a total of 410 test samples for each reverberation condition are simulated. The proposed method is compared to the conditional separation and dereverberation (CSD) method and Frequency domain blind source separation (FDBSS) method using objective measures which are segmental signal-to-reverberation ratio (SRRseg), signal-to-interference ratio (SIR) and direct-to-reverberationr (DRR).","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134199255","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

An improved DC-link control for dual-stage grid connected Photovoltaic system using three-level Neutral Point Climped inverter: *Note: Sub-titles are not captured in Xplore and should not be used 使用三电平中性点渐变逆变器的双级并网光伏系统的改进直流链路控制:*注:在Xplore中不捕获字幕，不应使用

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955845

A. Nadiah, A. Badoud, Farid Merahi, Abdelbaset Laib, L. Rahmani

{"title":"An improved DC-link control for dual-stage grid connected Photovoltaic system using three-level Neutral Point Climped inverter: *Note: Sub-titles are not captured in Xplore and should not be used","authors":"A. Nadiah, A. Badoud, Farid Merahi, Abdelbaset Laib, L. Rahmani","doi":"10.1109/SSD54932.2022.9955845","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955845","url":null,"abstract":"In this paper, we provide two options for the intention of new control strategies. The first is novel adaptive DC-link voltage control approach based on the feedforward and PI regulator (FF-PI). The second is a finite control set model predictive current control (FCS-MPC). We address the problem of switching power losses, the harmonic current and voltage balancing problems wich consequently degraded power quality and negatively affected the power factor. This paper proposes two robust control strategies for reducing this drawback. In these strategies, the DC-link voltage is regulated by a hybrid control technique combining a PV feedforward term and a standard PI controller DC link voltage error, which have been proposed by setting DC-link voltage reference according to CPI (common point of interconnection) voltage for control of grid tied voltage source converter. In addition, the natural voltage balancing capability of the three-level and three-phase neutral-point-clamped (NPC) using the predictive control (FCS-MPC) to generate pulse with modulation (PWM)signal for the inverter. The unit vectors are estimated from grid voltages to synchronize output currents of the voltage source using a phased looked loop (PPL). Finally, Several Matlab simulation results have verified the operational performance of the proposed control strategies. In this paper, we argue that the total harmonic distortion THD of grid current has been found well under the limit of an IEEE standard, improving power quality and good disturbance rejection after sudden changes of the active power.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134554945","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

Reliability Evaluation of GSR Prediction Using Neural Networks with Variant Atmospheric Parameters 基于变大气参数的神经网络GSR预测可靠性评估

2022 19th International Multi-Conference on Systems, Signals & Devices (SSD) Pub Date : 2022-05-06 DOI: 10.1109/SSD54932.2022.9955790

M. Al-Omary, Aiman Albatayneh, R. Aljarrah, Khaled Alzaareer

{"title":"Reliability Evaluation of GSR Prediction Using Neural Networks with Variant Atmospheric Parameters","authors":"M. Al-Omary, Aiman Albatayneh, R. Aljarrah, Khaled Alzaareer","doi":"10.1109/SSD54932.2022.9955790","DOIUrl":"https://doi.org/10.1109/SSD54932.2022.9955790","url":null,"abstract":"Global Solar Radiation (GSR) has fluctuations in its measured values. This occurs by actions of several factors including clouds, dust, reflections, and others. The ambiguity associated with its prospective values forms a challenge for many engineering applications and manufacturers of solar-based systems. The intermittent nature of global solar radiation conflicts with the necessity to find correct and reliable values in advance. The neural network-based prediction has been adopted to fulfill a prior knowledge about these values for being highly efficient compared to the stochastic and statistic approaches. Despite that, the reliability of those networks is considered variant for being largely dependent on different inputs. This work evaluates the reliability of different neural networks that specifically use atmospheric parameters, considering them as single inputs and combinations of two and three parameters. The results appeared that the network that uses (Zenith Angle, Air Temperature, and Relative Humidity) is the most reliable one with 0.997 recorded for the correlation coefficient. Oppositely, the network of only (Air Temperature) is the network of the lowest reliability according to the 0.603 that is found for the correlation coefficient.","PeriodicalId":253898,"journal":{"name":"2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)","volume":"49 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133557629","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