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2022 6th International Conference on Green Technology and Sustainable Development (GTSD)最新文献

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Research Design and Manufacture of Automatic Edging and Trimming System for Wood Board from Wagon in Sawing Line Using PLC Control System 采用PLC控制系统的锯线车板自动磨边修边系统的研究、设计与制造
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989051
Son Hoang, Truong Bui Le Hong, Anh Nguyen Pham Thuc, Tuong Tran Van, Tỉnh Phạm Văn, Trung Nguyen Van
The optimization of the processing stages in the sawmill line occupies a strategic position in processing wood products from raw materials (logs). The main objectives of this paper are to propose a design and manufacture an automatic edging and trimming (AET) system for a wood board to synchronize with the sawing line using programmable logic controller (PLC) system. To verify the design of integration, 20 different board samples were used to evaluate the effectiveness of the manufactured system. The results indicated that the AET system meets the basic requirements in cutting the edge waste out of the board and improving rate of wood recovery. Therefore, the idea of the AET system displays merits further research and may be applicable to future sawmills
锯木厂生产线加工阶段的优化在从原材料(原木)加工木制品中占有战略地位。本文的主要目的是利用可编程控制器(PLC)系统,设计和制造一种与锯切线同步的木板自动磨边和修边(AET)系统。为了验证集成设计,使用了20个不同的电路板样品来评估制造系统的有效性。结果表明,AET系统在将废边从板材中剔除,提高木材回收率方面达到了基本要求。因此,AET系统的思想值得进一步研究,并可能适用于未来的锯木厂
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引用次数: 0
An Eye-to-Hand Visual Servoing Controller of 3-DOF Robot Using Feature Matching Technology 基于特征匹配技术的三自由度机器人眼手视觉伺服控制器
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9988995
Nguyen Dang Hung Phu, Vo Nguyen Thong, Dang Xuan Ba
In robotic control sectors, the image-based visual servo method is an advanced approach used to control the robot to the desired position by using pixels from cameras. We can control the robot flexibly to achieve high quality when the joint variables have little backflash. Applications of this method can be classified into two groups: eye-in-hand and eye-to-hand ones. In this paper, we employ the eye-to-hand method for position tracking control problems of robotic manipulators. Kinematics of the robot and camera are first derived based on homogenous transformation relation and pinhole models. The control technique uses the normalized difference between the pixel observed from the camera and the desired pixel to result in proper control signals throughout a flexible activation gain. The feasibility of this method will be demonstrated through comparative simulation results.
在机器人控制领域,基于图像的视觉伺服方法是一种先进的方法,用于利用相机的像素来控制机器人到期望的位置。在关节变量反闪很小的情况下,可以灵活地控制机器人,达到高质量。该方法的应用可分为两类:眼对手和眼对手。本文采用眼-手方法求解机器人的位置跟踪控制问题。首先基于齐次变换关系和针孔模型推导了机器人和摄像机的运动学。控制技术使用从相机观察到的像素和期望像素之间的归一化差,从而在整个灵活的激活增益中产生适当的控制信号。通过对比仿真结果验证该方法的可行性。
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引用次数: 0
Automatic Door Opening System Using Face Recognition with PCA Algorithm 基于PCA算法的人脸识别自动开门系统
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989115
Phan Nhu Quan, Phan Nhu Phuong, Pham Van Toan, Nguyen Duc Tien, Sowmyanarayanan Murugan
This paper presents a solution to the automatic door opening system by face recognition by applying PCA (Principal Component Analysis) algorithm. In this work, the PCA algorithm is primarily used to recognize image objects, the feature vector formed using the eigenvectors of the covariance matrix to reorient the image data from the original axes to the ones is used to identify the principal components. The image dataset consists of twenty photos. Using UART (Universal Asynchronous Receiver Transmitter) communication to transmit signal to the Arduino microcontroller to control the servo motor run to open the door. The simulation results show that the proposed solution gives high accuracy and the processing speed is quite fast.
提出了一种应用主成分分析(PCA)算法对自动开门系统进行人脸识别的解决方案。在本研究中,主要使用PCA算法来识别图像对象,使用协方差矩阵的特征向量形成的特征向量来将图像数据从原始轴重新定向到主成分,用于识别主成分。图像数据集由20张照片组成。利用UART (Universal Asynchronous Receiver Transmitter)通信将信号传输到Arduino微控制器,控制伺服电机运行开门。仿真结果表明,该方法精度高,处理速度快。
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引用次数: 0
Seven-segment Display Automatic Detection and Interpretation System using CNN-GO 采用CNN-GO的七段显示自动检测与判读系统
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989301
Autanan Wannachai, Wanarut Boonyung, Artit Yawootti, Pinit Nuangpirom, Ronnachart Munsin
In industrial plants, machines and measuring instruments are displayed through a seven-segment display. The machine is operating for more than 20 hours/day. The operator cannot check measurement data or status all the time. In addition, human error affects overall performance and time. This research aims to develop an embedded system for interpreting data from seven segment displays through online image processing. CNN (Convolution Neural Network) is applied in the detection and interpretation process. This paper proposes seven-segment display automatic detection and interpretation system using CNN-GO. An IoT device takes the photo of the measuring instrument's seven-segment display and sends the image to the server. The server interprets an image to numerical data using CNN-GO. Grayscale and Overlapping scanning are applied to increase the accuracy of detection and interpretation of numerical data.
在工业厂房中,机器和测量仪器通过七段显示器显示。这台机器每天运转20多个小时。操作人员不能一直检查测量数据或状态。此外,人为错误会影响整体性能和时间。本研究旨在开发一个嵌入式系统,通过在线图像处理来解释七个分段显示的数据。在检测和解释过程中应用了卷积神经网络(CNN)。提出了一种基于CNN-GO的七段显示自动检测与判读系统。物联网设备拍摄测量仪器的七段显示器的照片并将图像发送到服务器。服务器使用CNN-GO将图像解释为数值数据。采用灰度扫描和重叠扫描,提高了数值数据的检测和解释精度。
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引用次数: 0
Advanced Flywheel-based Balance for Biped Robot Stably Walking 两足机器人稳定行走的先进飞轮平衡
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989303
T. T. Huan, Cao Van Kien, N. Dat, H. Anh
An advanced flywheel-based balance for biped robots is presented to follow the desired gait. Firstly, a dynamic model of hybrid biped-flywheel in walking is built. Then, a new balance controller is designed based on a flywheel located at the upper biped body, which is a closed-loop controller with the feedback signal being the tilt angle of the upper biped body related to the gravity acceleration to keep the biped body parallel to the ground exactly the desired gait. The PD+ controller is implemented whose parameters will be optimized using the multi-objective MO-Jaya algorithm. Eventually, proposed solution is successfully applied for the small-sized biped robot (HUBOT-4.1) to robustly walk in balance along with the desired gait. Simulation and experiment results prove that the proposed solution is effective
提出了一种先进的基于飞轮的两足机器人平衡系统,使其能够遵循期望的步态。首先,建立了两足-飞轮混合行走的动力学模型。然后,设计了一种新的基于飞轮的平衡控制器,该控制器是一种闭环控制器,其反馈信号为上两足体与重力加速度相关的倾斜角,以使两足体与地面保持精确的平行步态。实现了PD+控制器,并采用多目标MO-Jaya算法对其参数进行优化。最终,所提出的解决方案成功应用于小型双足机器人(HUBOT-4.1),使其能够以期望的步态稳健地平衡行走。仿真和实验结果证明了该方法的有效性
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引用次数: 1
Synthesis of Novel Transmission Systems for Electrified Vehicles 新型电动汽车传动系统的综合
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989199
N. Hoang, Hong–Phuc Vo, Cong–Son Pham
With the modern development in the world of vehicles, electric and hybrid vehicles account for a relatively large part of the world in which the powertrain determines the vehicle's performance. To continue developing and synthesizing many novel structures, Yan's method is the optimal method to analyze and synthesize the existing structures. This article proposes a new process of applying Yan's method by arranging the clutches and requirements with the corresponding structures. Then, the structures of five, six, seven, and eight links are synthesized and generated. To demonstrate the feasibility of the structures and create the corresponding operating modes, the 6-link structures are selected to provide adequate torque and working conditions for the electrified vehicles.
随着现代汽车的发展,电动和混合动力汽车在世界上占有相当大的份额,其中动力总成决定了汽车的性能。为了继续开发和合成许多新的结构,Yan的方法是分析和合成现有结构的最佳方法。本文提出了一种应用Yan方法的新过程,即将离合器和要求与相应的结构进行排列。然后,合成并生成五、六、七、八连杆结构。为了证明结构的可行性,并创建相应的运行模式,选择六连杆结构,为电动汽车提供足够的扭矩和工作条件。
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引用次数: 0
Compact Y-shaped Broadband Planar Antenna for WBAN Applications 用于WBAN应用的紧凑y形宽带平面天线
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989254
Vishal Das, S. Rawat
A compact Y - Shaped antenna with a defected ground structure for Wireless Body Area Network is presented and is operating in the terahertz frequency range. This antenna is having an impedance bandwidth of 10.519 THz (1.147 THz-11.66 THz) and a microstrip feed line is employed to feed the antenna. By making amendments in patch shape and causing defects in the ground, size reduction of the antenna and substantial enhancement in bandwidth are reached. The antenna is radiating at 2.515 THz, 3.872 THz, 7.287 THz, and 10.084 THz respectively. To get the desired result parametric investigation is conducted and the results are described methodically. The maximal gain of the antenna is 15.07 dB at 7.716 THz.
提出了一种工作在太赫兹频率范围内的具有缺陷接地结构的小型Y形无线体域网络天线。该天线的阻抗带宽为10.519太赫兹(1.147太赫兹-11.66太赫兹),采用微带馈线为天线馈电。通过修正贴片形状,在地面制造缺陷,使天线尺寸减小,带宽大幅提高。天线的辐射频率分别为2.515 THz、3.872 THz、7.287 THz和10.084 THz。为了得到预期的结果,进行了参数调查,并对结果进行了系统的描述。该天线在7.716 THz时的最大增益为15.07 dB。
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引用次数: 0
Adaptive Noise Cancellation Using Petri Fuzzy Brain Emotional Learning-Based Neural Network 基于Petri模糊大脑情绪学习的神经网络自适应噪声消除
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989266
Sowmyanarayanan Murugan, Tien-Loc Le, Phan Nhu Quan
This study briefs the application of a novel intelligent algorithm as an adaptive filter. The proposed algorithm, Petri fuzzy brain emotional learning-based neural network (PNFBELNN) is designed by introducing Petri Net layers in fuzzy brain emotional learning-based neural network. The Petri Net reduces the computational load caused by parameter learning and improves fuzzy reasoning thus enabling high-speed signal processing. The proposed filter is applied as an adaptive noise canceller. The performance of the filter is illustrated through numerical simulations of the noise cancelation system.
本文简要介绍了一种新的自适应滤波智能算法的应用。在基于模糊大脑情绪学习的神经网络中引入Petri网层,设计了Petri模糊大脑情绪学习神经网络(PNFBELNN)算法。Petri网减少了由参数学习引起的计算量,改进了模糊推理,从而实现了高速信号处理。该滤波器作为一种自适应噪声消除器。通过对噪声消除系统的数值模拟,说明了该滤波器的性能。
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引用次数: 0
Self-evolving Multilayer Type-2 Fuzzy Controller Design For Time-Varying Delay Systems 时变时滞系统的自进化多层2型模糊控制器设计
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989243
Tien-Loc Le, Kim Long Ngo, Van Binh Ngo, Nguyen Vu Quynh, Sowmyanarayanan Murugan, Tran Van Thanh
This study presents a design of the multilayer type-2 fuzzy controller (MT2FC) to control the time-varying delay systems. By using the proposed multilayer structure, the number of fuzzy rules can be reduced while ensuring good coverage of input states. The self-evolving algorithm is used to automatically obtain the optimal network structure. The network parameters are updated online using the gradient descent method. Finally, the performance of the proposed control method is illustrated by numerical simulations of the time-varying delay systems.
本文设计了一种多层2型模糊控制器(MT2FC)来控制时变时滞系统。通过使用所提出的多层结构,可以减少模糊规则的数量,同时保证对输入状态的良好覆盖。采用自进化算法自动获得最优网络结构。采用梯度下降法在线更新网络参数。最后,通过对时变时滞系统的数值仿真验证了所提控制方法的有效性。
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引用次数: 0
Development of Proportional Integral Derivative Controller of High-Pressure Pump in Stand-Alone Common Rail Injection System for Engine Research 发动机单机共轨喷射系统高压泵比例积分导数控制器的研制
Pub Date : 2022-07-29 DOI: 10.1109/GTSD54989.2022.9989032
Nawee Nuntapap, Prathan Srichai, P. Yeunyongkul, Ronnachart Munsin
This paper aims to develop a technique for controlling fuel pressure in a common rail injection system using proportional integral derivative control (PID). Test fuel was blended fuel between diesel and biodiesel of 93:7 %vol. The multiple injection strategies were tested under the injection pressure of 350 to 800 bar. Injection duration was varied in the range of 0.82-5 ms with a constant dwell time of 6.4 ms. Injection period was set as 171 ms, corresponding to the engine idle speed of 750 rpm. Suction control valve was controlled by pulse width modulation. The results showed that fuel pressure in the common rail can be controlled by PID controller for different injection strategies with fluctuation pressure in the rail less than 1%. The fluctuation pressure trends to have lower fluctuation pressure in case of higher pressure.
研究了一种用比例积分导数控制(PID)控制共轨喷射系统燃油压力的方法。试验燃料为93:7%体积的柴油与生物柴油混合燃料。在350 ~ 800 bar的注入压力下,对多种注入策略进行了测试。注射时间为0.82 ~ 5ms,固定停留时间为6.4 ms。喷射周期设定为171 ms,对应发动机怠速750 rpm。吸气控制阀采用脉宽调制控制。结果表明:采用PID控制器对不同喷油策略的共轨燃油压力进行控制,且共轨燃油压力波动小于1%。压力越高,波动压力越小。
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引用次数: 0
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2022 6th International Conference on Green Technology and Sustainable Development (GTSD)
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