2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献_第8页

Predicting Remaining Useful Life of Wind Turbine Bearing using Linear Regression 风电轴承剩余使用寿命的线性回归预测

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765939

Ameni Jellali, H. Maatallah, K. Ouni

{"title":"Predicting Remaining Useful Life of Wind Turbine Bearing using Linear Regression","authors":"Ameni Jellali, H. Maatallah, K. Ouni","doi":"10.1109/IC_ASET53395.2022.9765939","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765939","url":null,"abstract":"Almost all industrial wind turbine failures are caused by bearing degeneration. As a critical part of this functionality, precisely estimating the remaining usable life (RUL) of the bearings is necessary in order to ensure the reliability and availability of energy generation. This work investigates how to build a classification model in Python to estimate the RUL of a wind turbine main bearing. Making use of SCADA data Given by the Harvard Dataverse data set, we select only the four most physical characteristics from this data set to solve this challenge. Temperature, viscosity, dynamic load, and fatigue damage are all factors to consider. The suggested methods is based on a concept that was previously developed in the literature for prediction in other discipline. This paper also assesses which model is best for forecasting failure on the given data set. This assessment is carried out in order to determine that linear regression is the best method for producing a model capable of reducing variation and improving the metrics of our model with an accuracy level of 99 percent for daily prediction. This enables the development of a new sort of intelligent intention.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"5 1","pages":"357-362"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81533866","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

Non-Parallel Voice Conversion System Using An Auto-Regressive Model 基于自回归模型的非并行语音转换系统

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765886

Kadria Ezzine, M. Frikha, J. Di Martino

{"title":"Non-Parallel Voice Conversion System Using An Auto-Regressive Model","authors":"Kadria Ezzine, M. Frikha, J. Di Martino","doi":"10.1109/IC_ASET53395.2022.9765886","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765886","url":null,"abstract":"Much existing voice conversion (VC) systems are attractive owing to their high performance in terms of voice quality and speaker similarity. Nevertheless, without parallel training data, some generated waveform trajectories are not yet smooth, leading to degraded sound quality and mispronunciation issues in the converted speech. To address these shortcomings, this paper proposes a non-parallel VC system based on an auto-regressive model, Phonetic PosteriorGrams (PPGs), and an LPCnet vocoder to generate high-quality converted speech. The proposed auto-regressive structure makes our system able to produce the next step outputs from the previous step acoustic features. Further, the use of PPGs aims to convert any unknown source speaker into a specific target speaker due to their speaker-independent properties. We evaluate the effectiveness of our system by performing any-to-one conversion pairs between native English speakers. Objective and subjective measures show that our method outperforms the best non-parallel VC method of Voice Conversion Challenge 2018 in terms of naturalness and speaker similarity.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"61 1","pages":"500-504"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91543559","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

Emotional and cognitive dissonance revealed using VEMOS emotion analysis system 使用VEMOS情绪分析系统揭示情绪和认知失调

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765892

Nadia Jmour, S. Masmoudi, A. Abdelkrim

引用次数: 0

Mechanical Design and Control of an Arm with Two Degrees of Freedom for Inspection and Cleaning Operations 用于检测和清洗操作的二自由度机械臂的机械设计与控制

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765933

C. Zaoui, Helmi Abrougui, Mohamed Amine Meftah, Saber Hachicha, Ahmed Moulhi, Habib Dallagi

引用次数: 0

Unipolar SHEPWM for Pure Sine Wave Single-Phase Inverter 单极SHEPWM纯正弦波单相逆变器

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765879

Aymen Chaaira, Rabiaa Gamoudi, L. Sbita

引用次数: 0

Deep Neural Network for visual Emotion Recognition based on ResNet50 using Song-Speech characteristics 基于ResNet50的基于歌曲-语音特征的深度神经网络视觉情感识别

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765898

Souha Ayadi, Z. Lachiri

{"title":"Deep Neural Network for visual Emotion Recognition based on ResNet50 using Song-Speech characteristics","authors":"Souha Ayadi, Z. Lachiri","doi":"10.1109/IC_ASET53395.2022.9765898","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765898","url":null,"abstract":"Visual emotion recognition is a very large field. It plays a very important role in different domains such as security, robotics, and medical tasks. The visual tasks could be either image or video. Unlike the image processing, the difficulty of video processing is always a challenge due to changes in information over time variation. Significant performance improvements when applying deep learning algorithms to video processing. This paper presents a deep neural network based on ResNet50 model. The latter is conducted on the Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) due to the variance of the nature of the data exists which is speech and song. The choice of ResNet model is based on the ability of facing different problems such as of vanishing gradients, the performing stability offered by this model, the ability of CNN for feature extraction which is considered to be the base architecture for ResNet, and the ability of improving the accuracy results and minimizing the loss. The achieved results are 57.73% for song and 55.52% for speech. Results shows that the Resnet50 model is suitable for both speech and song while maintaining performance stability.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"3 1","pages":"363-368"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75736918","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

Modelling of an Intelligent Control Strategy for an Autonomous Sailboat - SenSailor 自主帆船智能控制策略建模-传感器

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765928

Arom Moreno-Ortiz, Daniela Sánchez-Orozco, Luis López-Estrada, C. Tutivén, Y. Vidal, Marcelo Fajardo-Pruna

引用次数: 0

Design of Continuous-Time ΣΔ-modulator With Single-Bit Quantizer With Hysteresis Operating at Limit Cycle 限环滞滞的连续时间单比特量化器ΣΔ-modulator的设计

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765931

Boncho Nikov

引用次数: 0

A comparative analysis of techniques for extracting features from the object in image processing 图像处理中物体特征提取技术的比较分析

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765905

Touka Hafsia, H. Tlijani, K. Nouri

{"title":"A comparative analysis of techniques for extracting features from the object in image processing","authors":"Touka Hafsia, H. Tlijani, K. Nouri","doi":"10.1109/IC_ASET53395.2022.9765905","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765905","url":null,"abstract":"Visual informations is very rich to control and pursue mobile robots, like wheeled mobile robots, underwater robots and aerospace mobile robots, etc. These are considered as mobile robots that move in different spaces, their main problem in this case is navigation especially in unknown environments. In effect, this navigation is possible only by the localisation and orientation of the robot by using different embedded sensors. We have the camera which is a necessary sensor in this work, it is an embedded instrument that gives very rich visual information as a sensor complementing the other sensors. In this context, the recognition of objects from visual informations is a main function among the functions very useful in image processing tasks due to its varied applications in the field of robotics. Based on the analysis of this informations and the determination of image features like color or shape or object primitives (points, lines, edges, etc.) or some other features. What interest us in this paper, various feature extraction techniques and classification of point and edge detection are discussed which are required for object recognition showing advantages and disadvantages of the selected algorithms. So, points and edge detection refers to the process of identifying and detecting sharp discontinuities in an image. In this work, we try to develop a novel algorithm using the work on the existing to create a novel detector.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"321 1","pages":"340-344"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77459383","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

An Optimal Power Control Strategy For A Plug In Electric Vehicle Based On Online Multi-Objective Particle Swarm Optimization 基于在线多目标粒子群优化的插电式电动汽车最优功率控制策略

2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765949

M. Rekik, Marwa Grami, L. Krichen

引用次数: 0