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

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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
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765892
Nadia Jmour, S. Masmoudi, A. Abdelkrim
Artificial intelligence is used in different fields. This paper describes a new opportunity to connect artificial intelligence to cognitive social psychology. We touch two important psychology paradigms: emotional and cognitive dissonance. Our hypotheses are proved using the new video based emotions analysis system (VEMOS) by testing labeled videos samples filmed by an actor according to specific scenarios and situations proposed by an expert on cognitive psychology describing the two paradigms. First, our approach has shown relevant results that confirm the notion of emotional and cognitive dissonance and the reliability of the intelligent system VEMOS on recognizing emotions efficiently. Then, we successfully add a new method of measuring a score of the individual emotional dissonance as well as his degree of spontaneity and degree of control.
人工智能应用于不同的领域。本文描述了将人工智能与认知社会心理学联系起来的新机会。我们触及两个重要的心理学范式:情绪失调和认知失调。我们的假设是使用新的基于视频的情绪分析系统(VEMOS),根据认知心理学专家提出的描述这两种范式的具体场景和情境,通过测试演员拍摄的标记视频样本来证明的。首先,我们的方法显示了相关的结果,证实了情绪和认知失调的概念,以及智能系统VEMOS在有效识别情绪方面的可靠性。然后,我们成功地增加了一种新的方法来测量个人情绪失调的得分以及他的自发性程度和控制程度。
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引用次数: 0
Monitoring of Wind Energy Conversion System by on Dimensional Adaptive Tuning Fuzzy Logic Controller 基于一维自适应整定模糊控制器的风能转换系统监控
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765876
Toumi Ilham, Meghni Billel, D. Taibi
The maximum power point tracking algorithm in wind power system design is considered an important point, to increase the efficiency of wind turbines power, in addition to regulating the voltage and frequency loops, energy must be extracted from the wind very efficiently, so it is necessary to design an effective control strategy. This paper presents an adaptive tuning structure, for capturing the maximum power points of controlling the wind energy conversion system, according to a permanent magnet synchronous generator. The optimum rotational speed of the generator is obtained utilizing the tip speed ratio strategy. Maximum power extracted at each wind speed is maintained, using a dimensional fuzzy logic control (DFLC) that is applied to the machine side converter. Adaptive DFLC controller is used in complex non-linear systems. The new control adopts two ideas, first to locate system states to a specific region in the form of calculating dimensional (distances, surface), then to design a fuzzy control law that will maintain the system in this zone. To confirm the efficiency and reliability of the suggested adaptive control, a simulation was executed using the MATLAB/Simulink program. The results showed the superiority of the new control as it was observed that the control can extract maximum power under variations of the wind speed profile, through its response speed and settling time. The paper contains extensive results.
最大功率点跟踪算法在风电系统设计中被认为是一个重要的点,要提高风力发电机组的发电效率,除了对电压回路和频率回路进行调节外,还必须非常高效地从风中提取能量,因此有必要设计一种有效的控制策略。本文以永磁同步发电机为例,提出了一种自适应调谐结构,用于捕获控制风能转换系统的最大功率点。利用叶尖速比策略得到了发电机的最佳转速。在每个风速提取的最大功率保持,使用一个维度模糊逻辑控制(DFLC),应用于机器侧转换器。自适应DFLC控制器用于复杂非线性系统。该控制方法采用两种思路,首先通过计算维度(距离、曲面)的形式将系统状态定位到特定区域,然后设计模糊控制律使系统保持在该区域内。为了验证所提自适应控制的有效性和可靠性,利用MATLAB/Simulink程序进行了仿真。结果表明,在风速廓线变化的情况下,该控制方法的响应速度和稳定时间都能提取出最大功率。这篇论文包含了广泛的结果。
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引用次数: 1
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
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765886
Kadria Ezzine, M. Frikha, J. Di Martino
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.
许多现有的语音转换系统由于其在语音质量和说话者相似度方面的高性能而具有吸引力。然而,在没有并行训练数据的情况下,一些生成的波形轨迹还不光滑,导致转换后的语音出现音质下降和发音错误的问题。为了解决这些缺点,本文提出了一种基于自回归模型、语音后置图(PPGs)和LPCnet声码器的非并行VC系统,以生成高质量的转换语音。所提出的自回归结构使我们的系统能够从前一步声学特征中产生下一步输出。此外,使用ppg的目的是将任何未知的源说话者转换为特定的目标说话者,因为它们与说话者无关。我们通过在英语母语者之间进行任意对一的转换对来评估我们系统的有效性。客观和主观测量表明,我们的方法在自然度和说话人相似度方面优于2018年语音转换挑战赛的最佳非并行VC方法。
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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
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765905
Touka Hafsia, H. Tlijani, K. Nouri
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.
对于轮式移动机器人、水下移动机器人和航空航天移动机器人等移动机器人的控制和跟踪来说,视觉信息是非常丰富的。这些被认为是在不同空间移动的移动机器人,它们在这种情况下的主要问题是导航,特别是在未知环境中。实际上,这种导航只能通过使用不同的嵌入式传感器来定位和定位机器人。我们有相机,这是一个必要的传感器在这项工作中,它是一个嵌入式仪器,提供非常丰富的视觉信息,作为一个传感器补充其他传感器。在这种情况下,从视觉信息中识别物体是图像处理任务中非常有用的功能之一,因为它在机器人领域的应用非常广泛。基于对这些信息的分析和图像特征的确定,如颜色或形状或物体原语(点、线、边等)或其他一些特征。本文讨论了目标识别所需的各种特征提取技术和点边缘检测分类,并展示了所选算法的优缺点。因此,点边缘检测是指对图像中明显的不连续点进行识别和检测的过程。在这项工作中,我们试图开发一种新的算法,利用现有的工作来创建一个新的检测器。
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引用次数: 1
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
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
This paper deals with the modeling and control of an autonomous arm with two degrees of freedom. The arm mechanical design was firstly proposed and described. It is designed for ship inspection and cleaning operations. The proposed control technique was developed using sliding mode control combined with feedback linearization approach. Simulation results were carried out to show the effectiveness of the proposed control law.
本文研究了二自由度自主机械臂的建模与控制问题。首先提出并描述了机械手的机械设计。它是为船舶检查和清洁操作而设计的。采用滑模控制与反馈线性化相结合的控制方法。仿真结果表明了所提控制律的有效性。
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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
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765879
Aymen Chaaira, Rabiaa Gamoudi, L. Sbita
Modern power systems, such as DC-AC inverters, have improved in efficiency. They employ simple control methods. During the switching process, however, they cause harmonic difficulties. This has an effect on the overall system's performances. To reduce these undesired harmonic distortions, unipolar Selective Harmonic Elimination SHEPWM was used in this work. At optimal switching angles, it cancels out odd harmonics. Its goal is to get rid of the first 100 low-order harmonics. By solving non-linear transcendental equations in MATLAB, the fsolve function was utilized to calculate the optimal 50 angles for the SHEPWM. The resulting SHEPWM control signal is implemented in LTspice. It operates a single-phase pure sine wave inverter. Finally, at the inverter output, an LC low-pass filter is used to improve the response and obtain a better sinusoidal AC waveform with lower THD.
现代电力系统,如直流-交流逆变器,已经提高了效率。他们采用简单的控制方法。然而,在开关过程中,它们会引起谐波问题。这对整个系统的性能有影响。为了减少这些不希望的谐波失真,在这项工作中使用了单极选择性谐波消除SHEPWM。在最佳的开关角度,它抵消了奇谐波。它的目标是去掉前100个低次谐波。通过在MATLAB中求解非线性超越方程,利用fsolve函数计算出SHEPWM的最佳50个角度。得到的SHEPWM控制信号在LTspice中实现。它操作一个单相纯正弦波逆变器。最后,在逆变器输出端,采用LC低通滤波器提高响应,得到较低THD下较好的正弦交流波形。
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引用次数: 0
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
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765949
M. Rekik, Marwa Grami, L. Krichen
The developed work in this paper focuses on the optimal integration of rechargeable electric vehicles into the smart grid. Indeed, an optimization control is proposed to improve the dynamics and the response of these vehicles by adjusting all the parameters of their regulators during participation in the both concepts: vehicles to grid and grid to vehicles. The suggested approach is performed using the Online multi-objective Particle-Swarm-Optimization (PSO) algorithm. Simulation results obtained by "Matlab Simulink" will be presented to show the feasibility of this studied approach.
本文主要研究可充电电动汽车与智能电网的优化集成问题。实际上,在车辆到电网和电网到车辆这两个概念中,提出了一种优化控制方法,通过调整其调节器的所有参数来改善这些车辆的动力学和响应。该方法采用在线多目标粒子群优化(PSO)算法。通过Matlab Simulink仿真得到的结果表明了所研究方法的可行性。
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引用次数: 0
Integration of multi-energy microgrid in an industrial activity zone 工业活动区多能微电网的集成
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765865
Jamel Eddine Boubakri, H. Cherif, J. Belhadj
This work presents a contribution to the analysis of the behavior and the control of the performance of a microgrid consisting of renewable photovoltaic and wind emergy sources equipped with storage batteries intended to supply an industrial load. To ensure better management of the system, energy models have developed to determine the power that sources can provide under given weather conditions. Management strategies have been adopted for the different scenarios to highlight role of the use of the storage means in connected mode for this system under the MATLAB/ SIMULINK environment. This study allowed us to guarantee the uninterrupted power supply as the optimal operation of the microgrid, and the safety of the battery. Technical reliability study was developed under a dynamic simulator based on the LPSP power loss concept, allowing us to size and select the best configuration.
本研究对由可再生光伏和风能组成的微电网的行为和性能控制的分析做出了贡献,该微电网配备了用于供应工业负荷的储能电池。为了确保更好地管理系统,能源模型已经开发出来,以确定在给定天气条件下能源可以提供的电力。针对不同的场景采用了管理策略,突出了在MATLAB/ SIMULINK环境下,本系统在连接模式下使用存储手段的作用。这项研究使我们能够保证微电网的不间断供电作为微电网的最佳运行,并保证电池的安全。在基于LPSP功率损耗概念的动态模拟器下进行了技术可靠性研究,使我们能够确定尺寸并选择最佳配置。
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引用次数: 1
Internal Model Control of underactuated mechanical systems, application to the inertia wheel inverted pendulum 欠驱动机械系统的内模控制,在惯性轮倒立摆中的应用
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765891
Ines Mahmoud, Imen Saidi
In this paper, an application of internal model control (IMC) on an underactuated system who is the inertia wheel inverted pendulum that exhibits unstable dynamics. The structure of the IMC has two nested controllers. The first controller ensures the stabilization of the system. The second controller ensures the tracking of reference trajectories. The simulation results are very satisfactory in terms of stability, accuracy and speed. The obtained controller is simple, is easy to implement in real time and presents good control and robustness performances.
本文研究了内模控制在动力学不稳定的惯性轮倒立摆欠驱动系统中的应用。IMC的结构有两个嵌套的控制器。第一个控制器保证了系统的稳定性。第二个控制器保证了参考轨迹的跟踪。仿真结果在稳定性、精度和速度方面都令人满意。所得到的控制器结构简单,易于实时实现,具有良好的控制性能和鲁棒性。
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引用次数: 0
Monitoring of a Railway Transport Networks Based on the Study of Effective Sojourn Time 基于有效停留时间研究的铁路运输网监测
Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765834
A. Mhalla
The paper proposes a new approach for surveillance of a railway transport systems. The studied system is modeled by Stochastic P-time Petri Nets (SP-TPN). The proposed monitoring approach focuses on the study of effective sojourn time of the token in places. It aims, on the basis of the information available on its operating modes, to detect, locate and diagnose failures that may affect the transport system performance and the operational safety.
本文提出了一种铁路运输系统监控的新方法。所研究的系统采用随机p时间Petri网(SP-TPN)建模。所提出的监测方法侧重于研究代币在场所的有效停留时间。它的目的是根据有关其运作模式的现有资料,侦测、定位和诊断可能影响运输系统性能和运作安全的故障。
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引用次数: 0
期刊
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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