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2023 International Conference on System Science and Engineering (ICSSE)最新文献

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Adaptive Sliding Mode Control for the Quadrotor with unknown Disturbance and Uncertain Parameters 未知扰动和参数不确定的四旋翼自适应滑模控制
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227184
Long H. Chu, NamHoai Nguyen
With the convenience of maneuvering and taking off easily, quadrotors are becoming more and more popular in military as well as civilian applications recently. The quadrotor is an under-actuated system. Moreover, in the presence of the external disturbance and uncertainties, it’s even more difficult to control. Therefore, the study of flight control algorithms for the quadrotor is absolutely necessary and that is also the main purpose of this study. First, the trajectory tracking problem without disturbance and uncertainties is solved by a backstepping controller (BSC). Then, an adaptive backstepping sliding mode controller (ABSMC) is investigated to solve the influence of external disturbance. Next, a controller was developed from the ABSMC controller to ensure that the tracking errors converge to zero while the coefficients of air resistance are unknown. In addition, all control algorithms are analyzed for stability. Finally, several simulations are performed to verify as well as compare with the studied control algorithms.
四旋翼飞行器具有机动方便、起飞方便等特点,近年来在军用和民用领域得到越来越广泛的应用。四旋翼是一个欠驱动系统。而且,在存在外部干扰和不确定性的情况下,控制难度更大。因此,对四旋翼飞行器的飞行控制算法进行研究是十分必要的,也是本文研究的主要目的。首先,利用反步控制器(BSC)解决无干扰和不确定性的轨迹跟踪问题。然后,研究了一种自适应反步滑模控制器(ABSMC)来解决外部干扰的影响。其次,在ABSMC控制器的基础上开发了一种控制器,以保证在空气阻力系数未知的情况下,跟踪误差收敛于零。此外,对所有控制算法进行了稳定性分析。最后,通过仿真对所研究的控制算法进行了验证和比较。
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引用次数: 0
A Novel Finite-time Continuous Exact First-order Differentiator 一种新的有限时间连续精确一阶微分器
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227219
Manh Hung Nguyen, Jeesun Ahn, K. Ahn
This paper aims to develop a novel continuous exact differentiator to determine the first-order derivative of a given signal in case of unknown upper-bounded second-order derivative with a simple tuning process. In addition, an improved convergence time and estimation accuracy can be successfully attained by employing innovative differentiator-generating functions. Furthermore, the stability of the proposed differentiator is theoretically verified through the Lyapunov theory. Finally, several numerical simulations are conducted to demonstrate the advantage of the suggested approach over existing reference methods in the literature.
本文旨在开发一种新的连续精确微分器,在二阶导数上界未知的情况下,通过简单的整定过程确定给定信号的一阶导数。此外,通过采用新颖的微分器生成函数,可以成功地提高收敛时间和估计精度。此外,通过李亚普诺夫理论从理论上验证了所提微分器的稳定性。最后,进行了几个数值模拟,以证明所建议的方法优于文献中现有的参考方法。
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引用次数: 0
A Simple Model Predictive Current Control to Improve Current Performance with Fixed Switching Frequency for Four-leg VSI fed Two-phase Loads 一种改善四支路VSI供电两相负载固定开关频率电流性能的简单模型预测电流控制
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227156
Huu-Cong Vu, Quoc-Hoan Tran, Duy-Anh Dong, K. Hoang, Tan Luong Van
This paper presents a simple model predictive current control (MPCC) method to improve current performance and achieve the fixed switching frequency for the four-leg voltage source inverter (VSI) fed two-phase loads. In the proposed method, a desired voltage vector is firstly introduced to avoid the current prediction calculations. Then, three voltage vectors, which are selected by the location of the desired voltage vector, are applied during one sampling period with a predetermined switching sequence to drive the inverter. This achieves the fixed switching frequency and significantly reduces the current harmonics. Simulation results are given to validate the effectiveness of the proposed MPCC method.
本文提出了一种简单的模型预测电流控制(MPCC)方法,以提高四脚电压源逆变器(VSI)两相负载的电流性能并实现固定的开关频率。在该方法中,首先引入期望电压矢量,避免了电流预测计算。然后,根据所需电压矢量的位置选择三个电压矢量,在一个采样周期内以预定的开关顺序施加三个电压矢量来驱动逆变器。实现了固定的开关频率,大大降低了电流谐波。仿真结果验证了该方法的有效性。
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引用次数: 0
Intelligent Prediction of Cloud Movement Path 云移动路径的智能预测
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227211
Shuo Kao, Yih-Guang Leu, Chia-Hao Chen, Tsai-Ping Chu
Due to the proportion of solar power generation in the power grid gradual increasing, weather forecasting plays an important role in the operation of power grid. In the case of a solar eclipse, the solar power generation will be influenced severely. In order to maintain grid stability, grid operations can precisely calculate the solar shading situation by the location and time of the solar eclipse, and then prepare in advance to reduce the impact of grid ramping event. The purpose of this paper is to predict the movement path of cloud blocks and estimate the solar shading by cloud blocks, and to estimate the variation of solar irradiance through Long Short-Term Memory (LSTM) network in order to provide dispatchers or Energy Management System (EMS) to effectively respond to the impact of cloud blocks on the power grid in advance.
由于太阳能发电在电网中的比重逐渐提高,天气预报在电网运行中发挥着重要作用。如果发生日食,太阳能发电将受到严重影响。为了维护电网的稳定,电网运行可以通过日食发生的位置和时间来精确计算遮阳情况,从而提前做好准备,减少爬网事件的影响。本文的目的是预测云块的运动路径,估算云块的遮阳效果,并通过LSTM网络估算太阳辐照度的变化,以便为调度员或能源管理系统(EMS)提前有效应对云块对电网的影响提供依据。
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引用次数: 0
H-BNN: FPGA-based binarized convolutional neural network for cloud detection on satellite payload H-BNN:基于fpga的二值化卷积神经网络在卫星载荷云检测中的应用
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227207
Chang-Yuan Lo, Pei-Jun Lee, Trong-An Bui
This paper proposes an FPGA-based binarized convolutional neural network (H-BNN) for cloud detection on a satellite payload. By utilizing 1-bitwise weights and activations, the proposed approach reduces computational complexity and memory requirements, making it an efficient solution for classifying cloud regions in near-infrared images captured by satellite camera sensors. The proposed H-BNN model and hardware implementation approach are more suitable for satellite (a) payload hardware computing and address the challenges posed by traditional Convolution Neural Network models with full precision configuration., and achieved an accuracy of over 90% and 22 Frames Per Second(FPS) on FPGA.
提出了一种基于fpga的二值化卷积神经网络(H-BNN)的卫星云检测方法。该方法利用1位加权和激活,降低了计算复杂度和存储需求,是卫星相机传感器捕获的近红外图像中云区域分类的有效解决方案。所提出的H-BNN模型和硬件实现方法更适合卫星(a)载荷硬件计算,解决了传统全精度卷积神经网络模型所面临的挑战。,并在FPGA上实现了90%以上的精度和每秒22帧(FPS)。
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引用次数: 0
Performance of Energy Harvesting Aided Multi-hop Mobile Relay Networks With and Without Using Cooperative Communication 有无协作通信的能量收集辅助多跳移动中继网络性能研究
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227223
Pham Xuan Minh, Ngo Hoang An, Nguyen Ngoc Son, Tran Trung Duy, N. Binh, Nguyen Luong Nhat
This paper studies performance of two radio frequency (RF) energy harvesting (EH) aided multi-hop mobile relaying models. In the first one, named MHM2M-DT, a mobile source attempts to send its data to a mobile destination with help of intermediate mobile relays. In MHM2M-DT, the data transmission at each hop is direct transmission. In the second one, named MHM2M-CC, cooperative communication is used at each hop to obtain higher spatial diversity. All the transmitters in our schemes have to harvest the RF energy from a power station, and use this energy to transmit the source data. We evaluate performance of MHM2M-DT and MHM2M-CC over double Rayleigh fading channels, in terms of end-to-end (e2e) outage probability (OP) and throughput (TP). Finally, Monte Carlo simulations are realized to validate the analysis as well as to compare the OP and TP performance of MHM2M-DT and MHM2M-CC.
研究了两种射频能量收集辅助多跳移动中继模型的性能。在第一个称为MHM2M-DT的协议中,移动源试图在中间移动中继的帮助下将其数据发送到移动目的地。在MHM2M-DT中,每一跳的数据传输都是直接传输。在MHM2M-CC中,每一跳采用协作通信,以获得更高的空间分集。在我们的方案中,所有的发射机都必须从发电站收集射频能量,并使用这些能量来传输源数据。我们在端到端(e2e)中断概率(OP)和吞吐量(TP)方面评估了MHM2M-DT和MHM2M-CC在双瑞利衰落信道上的性能。最后,通过蒙特卡罗仿真验证了分析结果,并比较了MHM2M-DT和MHM2M-CC的OP和TP性能。
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引用次数: 0
Energy Conservation and Control Systems Induction Machine Using Fault Current Signal 基于故障电流信号的感应电机节能与控制系统
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227246
Supachai Prainetr, Somchai Mongboon, Sittpong Intrayut, Natchanun Prainetr
Monitoring the status of electric machines is an essential performance element for an industry’s efforts to save energy. In this paper present energy saving and the design of an induction machine control system are examined. Based on an experimental case study involving a Motor Current Signal Analysis (MCSA) technique challenge for an audition. Wavelet Decomposition (WD) categorization is a part of the signal processing and it transfers data faults to Programmable Logic Controller (PLC) operations based on criteria standards. The results show that harmonic distortion and peak densities of current signal spectra can be detected by fault analysis and design protection systems. This study can be used in energy conservation during manufacturing and has applications for electrical machine protection systems.
监测电机的状态是一个行业努力节能的基本性能要素。本文对感应电机的节能及控制系统的设计进行了探讨。基于一个涉及电机电流信号分析(MCSA)技术挑战的实验案例研究。小波分解(WD)分类是信号处理的一部分,它将数据故障根据准则标准传递给可编程逻辑控制器(PLC)进行操作。结果表明,通过故障分析和设计保护系统,可以检测出电流信号频谱的谐波畸变和峰值密度。该研究可用于制造过程中的节能,并可应用于电机保护系统。
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引用次数: 0
An Improved Method for Assembling Metagenomic Sequences 一种组装宏基因组序列的改进方法
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227158
Nguyen Phi Khanh, L. Vinh
Metagenomic assembly is a crucial step in analyzing pipelines of microbial communities. It allows to reconstruct contiguous consensus sequences (contigs) from mixed reads of multiple species. Meta-IDBA is one of the de novo assemblers which applies the de Bruijn graph algorithm to assemble metagenomic data without reference genomes. However, errors occurring after the graph creation are not well corrected, and thus result to low accuracy of the approach. This study proposes an improved method that tackles the problem using an effective error removal technique. Experimental results show that the improved algorithm outperforms original Meta-IDBA assembler on simulated and real data.
宏基因组组装是分析微生物群落管道的关键步骤。它允许从多个物种的混合读取中重建连续的一致序列(contigs)。Meta-IDBA是一种全新的装配器,它采用de Bruijn图算法来装配没有参考基因组的元基因组数据。然而,在图形创建后出现的错误没有得到很好的纠正,从而导致该方法的精度较低。本研究提出了一种改进的方法,使用有效的误差去除技术来解决这个问题。实验结果表明,改进后的算法在模拟和实际数据上都优于原Meta-IDBA汇编器。
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引用次数: 0
Vision-based Fall Detection System: Novel Methodology and Comprehensive Experiments 基于视觉的跌倒检测系统:新方法与综合实验
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227233
Chi-Tam Nguyen, Thanh-Danh Phan, Minh-Thien Duong, Van-Binh Nguyen, Huynh-The Pham, M. Le
Falls are a significant health concern for older adults and people with disabilities. It can result in serious injuries such as hip fractures, head trauma, and even death. Therefore, a fall detection system is essential for preventing and mitigating the abovementioned negative consequences. In this study, we propose a fall detection system with a low-cost camera that can run in real-time and obtain persuading accuracy. Concretely, our proposed system first detects and tracks entities using the Yolo-V4-tiny model and SORT algorithm, respectively. Subsequently, the MediaPipe framework is utilized to extract the skeletons of each entity for physical characteristics calculations. Last but not least, the provided skeletons per frame with their corresponding physical characteristics serve as inputs of the Transformer to release detection results. The experimental result with reliable accuracy suggests that our study has the potential for practical applications. The demo video can be found here https://www.youtube.com/watch?v=dyFUT_SBrfU.
跌倒对老年人和残疾人来说是一个重大的健康问题。它会导致严重的伤害,如髋部骨折、头部创伤,甚至死亡。因此,跌倒检测系统对于预防和减轻上述负面后果至关重要。在这项研究中,我们提出了一种低成本的相机的跌倒检测系统,可以实时运行,并获得令人信服的准确性。具体来说,我们提出的系统首先使用Yolo-V4-tiny模型和SORT算法分别检测和跟踪实体。随后,利用MediaPipe框架提取每个实体的骨架进行物理特征计算。最后但并非最不重要的是,每帧提供的骨架及其相应的物理特征作为Transformer的输入,以释放检测结果。实验结果准确可靠,表明我们的研究具有实际应用的潜力。演示视频可以在这里找到https://www.youtube.com/watch?v=dyFUT_SBrfU。
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引用次数: 0
On the Performance of Potential Rate and Lifetime in LoRa Networks LoRa网络中潜在速率和寿命的性能研究
Pub Date : 2023-07-27 DOI: 10.1109/ICSSE58758.2023.10227166
Hai Nguyen Thi Tuyet, Le Anh Uyen Vu, Tran Trung Duy, Sang Quang Nguyen
The performance of long-range (LoRa) networks is investigated in the present paper. Particularly, we study and optimize the performance of the potential rate and average lifetime of an end device (ED). To be more precise, we take into account all operation states of an ED. Additionally, tools from stochastic geometry (SG) are employed to model the positions of the EDs. We then study the performance of the potential rate. Next, a pair of spreading factor (SF) and current transmission is selected to maximize the potential rate and average lifetime of the end devices. Numerical results show that there always exists a pair of SF and current transmissions that maximize the performance of the potential rate. Furthermore, the lifetime of the end devices is always above 4.5 years under the current setup and can be lasted up to a decade if the report frequency reduces to once per day.
本文研究了远程(LoRa)网络的性能。特别是,我们研究和优化了终端器件(ED)的潜在速率和平均寿命的性能。更精确地说,我们考虑了ED的所有操作状态。此外,使用随机几何(SG)工具来模拟ED的位置。然后我们研究了势速率的性能。其次,选择一对扩频因子(SF)和电流传输,以最大限度地提高终端设备的潜在速率和平均寿命。数值结果表明,总有一对顺流传输和电流传输能使势速率的性能最大化。此外,在当前设置下,终端设备的使用寿命始终在4.5年以上,如果报告频率减少到每天一次,则可以持续长达十年。
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引用次数: 0
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2023 International Conference on System Science and Engineering (ICSSE)
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