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2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献

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A Novel Approach of Speech Enhancement based on SBWT and MMSE Estimate of Spectral Amplitude 基于小波变换和MMSE谱幅估计的语音增强新方法
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318248
M. Talbi, M. Bouhlel
{"title":"A Novel Approach of Speech Enhancement based on SBWT and MMSE Estimate of Spectral Amplitude","authors":"M. Talbi, M. Bouhlel","doi":"10.1109/IC_ASET49463.2020.9318248","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318248","url":null,"abstract":"In this paper, is proposed a novel approach of speech enhancement. It is based on Stationary Bionic Wavelet Transform (SBWT) and MMSE (Minimum Mean Square Error) Estimate of Spectral Amplitude. It consists at the first step in applying the SBWT to the noisy speech signal in order to obtain eight noisy Stationary Bionic Wavelet Coefficients. Each of them is denoised applying the denoising technique based on MMSE Estimate of Spectral Amplitude. Finally, the inverse of SBWT is applied to the denoised stationary bionic wavelet coefficients in order to obtain the enhanced speech signal. The performance of this approach is justified by the computation of the SNR (Signal to Noise Ratio), the Segmental SNR (SSNR) and the PESQ (Perceptual Evaluation of Speech Quality).","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115327175","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
Comparative Study of Face Recognition Approaches 人脸识别方法的比较研究
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318305
Yassin Kortli, M. Jridi, Mehrez Merzougui, Areej Alasiry, Mohamed Atri
{"title":"Comparative Study of Face Recognition Approaches","authors":"Yassin Kortli, M. Jridi, Mehrez Merzougui, Areej Alasiry, Mohamed Atri","doi":"10.1109/IC_ASET49463.2020.9318305","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318305","url":null,"abstract":"Face recognition systems have become one of the most important and interesting research fields in recent years. These systems are widely used in various disciplines, despite the existence of different surveillance systems such as hand geometry, iris scan, as well as fingerprints. Following their simplicity and non-intrusive nature, they will be the next generation solution expected to support security and surveillance applications. Various approaches are being developed including local, holistic, and hybrid approaches. The main contribution of this survey is to review some well-known techniques for each approach and to give the taxonomy of their categories. After that, we are going to expose the advantages and the disadvantages of these schemes in terms of robustness, accuracy, complexity, and discrimination. Finally, we will criticize the implementation results of various mentioned databases.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132563603","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
Comparison between a Two-Level and Three-Level Inverter fed Induction Motor including Losses and Efficiency 二电平和三电平变频异步电动机的损耗和效率比较
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318310
Naima Soualhi, A. Makouf, N. Nait-Said, Souad Hamada
{"title":"Comparison between a Two-Level and Three-Level Inverter fed Induction Motor including Losses and Efficiency","authors":"Naima Soualhi, A. Makouf, N. Nait-Said, Souad Hamada","doi":"10.1109/IC_ASET49463.2020.9318310","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318310","url":null,"abstract":"This paper aims to present a comparative study between a three phase two-level and neutral-point clamped (NPC) three- level inverter controlled by a PWM technique and induction motor used as a load. The comparison takes into account losses, efficiency and total harmonic distortion (THD), depending on the switching frequency. Methods for calculating inverter losses and efficiency are well known and widely used in the literature. In this paper a simple model has been developed using Matlab/Simulink package to compute losses and efficiency in both of two-level and three-level inverter investigating analytical expressions given in the literature. The simulation results obtained prove that, the three-level inverter seems to be the most efficient topology.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114653916","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: 5
Fuzzy C-Means and Artificial Neural Network Based Method for Static Security Assessment 基于模糊c均值和人工神经网络的静态安全评估方法
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318286
H. Jmii, A. Meddeb, S. Chebbi
{"title":"Fuzzy C-Means and Artificial Neural Network Based Method for Static Security Assessment","authors":"H. Jmii, A. Meddeb, S. Chebbi","doi":"10.1109/IC_ASET49463.2020.9318286","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318286","url":null,"abstract":"The search for new and effective techniques to analyze the power system security is still a major concern for the researchers. This work proposes a combined method that introduces the Fuzzy C-Means clustering (FCM) and the artificial neural network (ANN). The combination is developed to identifying the class of the system status, according to a computed performance index (PI). The FCM algorithm is proposed to split the training data into numerous clusters in order to reduce the difficulty of the training data and enhance the efficacy of the ANN. The off-line simulations method is used to generate the training set of the FCM-ANN classifier. Then, we propose the direct method for reducing the dataset dimensionality. The New England 39-bus system is used to evaluate the combined classifier, via Matlab Simulink. A comparative study between the classification results of the FCM-ANN and those of the ANN is discussed.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124092961","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
Paths Planning of Unmanned Aerial Vehicles based on Grey Wolf Optimizer 基于灰狼优化器的无人机路径规划
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318225
Raja Jarray, S. Bouallègue
{"title":"Paths Planning of Unmanned Aerial Vehicles based on Grey Wolf Optimizer","authors":"Raja Jarray, S. Bouallègue","doi":"10.1109/IC_ASET49463.2020.9318225","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318225","url":null,"abstract":"Trajectories planning for Unmanned Aerial Vehicles (UAV) is a essential task in autonomous flight control design. In this paper, a method based on a Grey Wolf Optimizer (GWO) is present and favorably implemented to solve the path planning problem, reformulated as a hard optimization problem with constraints. The objective function is reformulated based on the path length and environmental constraints specific to the UAV while avoiding all the obstacles. The Water Cycle Algorithm (WCA), Crew Search Algorithm (CSA), Salp Swarm Algorithm (SSA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) metaheuristics are retained as comparison tools for statistical analysis. In order to observe the performance of the GWO compared to the other algorithm, many indicators are used as the performance criteria. The obtained results, conducted by numerical simulation, are satisfactory, perfectible and very encouraging in the aim of a future practical implementation on a hardware target of the proposed planning approach.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121948179","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: 5
RSSI based Localization in realistic environment 基于RSSI的现实环境定位
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318304
O. Kallel, Z. Jemaa
{"title":"RSSI based Localization in realistic environment","authors":"O. Kallel, Z. Jemaa","doi":"10.1109/IC_ASET49463.2020.9318304","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318304","url":null,"abstract":"In most of the works that have dealt with the problem of localization, it has been assumed that the antennas are omnidirectional. This paper aims to show how much this hypothesis is realistic; we considered the use of STM32L4 Discovery kit IoT node board as nodes to measure the Received signal strength indicator (RSSI) between two nodes and in different directions, the distance between the two nodes is fixed to 1 and 2 meters; based on these measures we determined the radiation diagram of the nodes. Then a real cases of localization is considered and a relation between the accuracy of the localization and the found diagram will be established.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442591","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
Review of Predictive Surface Discharge Modeling Over a Solid Insulator Based on the Equivalent Electrical Circuit 基于等效电路的固体绝缘子表面放电预测模型研究进展
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318264
M. E. Amine Slama, N. Dhahbi-Megriche, A. Beroual
{"title":"Review of Predictive Surface Discharge Modeling Over a Solid Insulator Based on the Equivalent Electrical Circuit","authors":"M. E. Amine Slama, N. Dhahbi-Megriche, A. Beroual","doi":"10.1109/IC_ASET49463.2020.9318264","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318264","url":null,"abstract":"This paper presents the application of the equivalent electrical circuit for the predictive modeling of the dynamic of surface discharge and flashover of solid insulators. Both of dry insulator and polluted insulator models and application are presented. The results show that this model is useful for a better understanding of the flashover mechanism and the design of the insulation level for high voltage electrical equipment.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129907533","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
Detecting objects and people and tracking movements in a video using tensorflow and deeplearning 使用tensorflow和深度学习来检测物体和人，并跟踪视频中的运动
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318253
Jemai Bornia, A. Frihida, C. Claramunt
{"title":"Detecting objects and people and tracking movements in a video using tensorflow and deeplearning","authors":"Jemai Bornia, A. Frihida, C. Claramunt","doi":"10.1109/IC_ASET49463.2020.9318253","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318253","url":null,"abstract":"with the advent of the digital age and more specifically videos, a huge amount of data is produced every day such as television archiving, video surveillance, etc. Faced with the need to keep control over this content, to be able to analyze it, classify it and many other applications, the need for algorithms capable of performing this task efficiently and quickly is undeniable. The proposed approach permits the analysis of video sequences using deep learning and TensorFlow technologies. The proposed approach splits video in set of images, detects objects/entities present in these images and stores their descriptions into a standard XML file. With an algorithm we developed, we're able track motion that animated entities in the video sequences.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130285764","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
Robust Switched Interval Observer for the Energy Management System in Hybrid Vehicles 混合动力汽车能量管理系统的鲁棒切换区间观测器
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318271
Fatah Bejaoui, C. Mechmeche, A. Tlili
{"title":"Robust Switched Interval Observer for the Energy Management System in Hybrid Vehicles","authors":"Fatah Bejaoui, C. Mechmeche, A. Tlili","doi":"10.1109/IC_ASET49463.2020.9318271","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318271","url":null,"abstract":"In this paper, the energy management system model of a hybrid vehicle (EMSHV) is elaborated. Based on this model, a switched interval observer with unknown input is proposed to estimate the output voltage of the DC bus. Sufficient conditions of the stability of such an observer are expressed in terms of LMI. A finite state machine is elaborated to control the EMSHV. To demonstrate the efficacy of the designed observation strategy, a large study, conducted by numerical simulations using Matlab/Simulink, is performed.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126791160","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 Policy Gradient Based Reinforcement Learning Method for Supply Chain Management 基于策略梯度的供应链管理强化学习方法
2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2020-12-15 DOI: 10.1109/IC_ASET49463.2020.9318258
Yassine Hachaïchi, Yassine Chemingui, M. Affes
{"title":"A Policy Gradient Based Reinforcement Learning Method for Supply Chain Management","authors":"Yassine Hachaïchi, Yassine Chemingui, M. Affes","doi":"10.1109/IC_ASET49463.2020.9318258","DOIUrl":"https://doi.org/10.1109/IC_ASET49463.2020.9318258","url":null,"abstract":"Technological advances of the recent decades have significantly affected the business world, the retail business in particular. Retailers need to innovate to maintain a competitive edge over competitors and ensure business sustainability. Therefore Research and Development is a crucial component of businesses growth. Intuition based approaches are replaced by supply chain computerized solutions such as inventory management, warehousing, allocation and replenishment. This paper aims at building a reinforcement learning agent capable of placing optimal orders for the sake of constructing a replenishment plan for next period. The goal is to develop a novel method of inventory replenishment. We base the developed module on the recent breakthroughs of reinforcement learning research in using deep neural networks for control. We compare the classical RL methods to the recently introduced Proximal policy optimization algorithm. As far as we know, this is the first time PPO is used in Supply Chain Management.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125250400","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: 2
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