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2017 International Conference on System Science and Engineering (ICSSE)最新文献

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Using ANFIS to predict picking position of the fruits sorting system 利用ANFIS预测水果分拣系统的采摘位置
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030885
T. Tho, Nguyen Truong Thinh
Sorting is one of the important tasks in production line and it has an appreciable effect to the homogeneous of products. Using vision system to increase productivity in automatic sorting system has attracted many researchers. In this paper, a vision sorting system based on computer that can identify the position and properties of fruits has been recommended. The sorting system uses the high resolution camera placed on the top of the body on conveyor belt. With the images are captured by the camera, the software will perform the algorithms to identify the characteristics of the object (for example tomatoes, passion fruits) to sort and give the location of objects to database, then the data of objects can be used by pick and place process that synchronize with controller of the actuators. The sorting process including some steps as detecting the object, determining the object properties like color, size, and shape,…, locating of the object, and using the ability of ANFIS (Adaptive Neuro-Fuzzy Inference System) to calculate the actual gripping position. A five layer neural network of ANFIS is used to adjust input and output parameters of membership function in a fuzzy logic controller. The hybrid learning algorithm is used for training this network. In this algorithm, the least square estimation method is applied for the tuning of linear output membership function parameters and the error hybrid method is used to tune the nonlinear input membership function parameters, it is possible to predict position exactly for actuators and reduce interpolation errors of the system. The algorithms will be experimented on tomatoes and passion fruits, results will be analyzed and evaluated to calculate the stable of the vision system, so that the productivity and accurate efficiency is appropriate.
分选是生产线上的重要工作之一,对产品的均一性有着重要的影响。利用视觉系统来提高自动分拣系统的生产效率已引起了人们的广泛关注。本文介绍了一种基于计算机的水果视觉分类系统,该系统可以识别水果的位置和性质。分拣系统采用高分辨率的摄像机,放置在身体顶部的传送带上。相机捕捉到图像后,软件通过算法识别物体的特征(如西红柿、百香果),对物体进行分类,并将物体的位置输入数据库,然后将物体的数据用于与执行器控制器同步的拾取和放置过程。分类过程包括检测物体、确定物体的颜色、大小和形状等属性、定位物体以及使用自适应神经模糊推理系统(ANFIS)计算实际抓取位置等步骤。在模糊逻辑控制器中,采用五层神经网络对隶属函数的输入输出参数进行调节。采用混合学习算法对网络进行训练。该算法采用最小二乘估计法对线性输出隶属度函数参数进行整定,采用误差混合方法对非线性输入隶属度函数参数进行整定,可以准确地预测执行机构的位置,减小系统的插补误差。该算法将在番茄和百香果上进行实验,对实验结果进行分析和评价,计算出视觉系统的稳定性,使生产效率和精度达到合适的水平。
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引用次数: 5
Occlusion vehicle detection algorithm in crowded scene for Traffic Surveillance System 交通监控系统中拥挤场景遮挡车辆检测算法
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030868
H. Phan, L. Pham, Duong Nguyen-Ngoc Tran, Synh Viet-Uyen Ha
Traffic Surveillance System (TSS) plays an important role in extracting necessary information (count, type, speed, etc.). In the area of Traffic Surveillance System (TSS), vehicle detection has emerged as an influential field of study. So far there has been a considerable amount of research to accommodate this subject. However, these studies almost address problems in developed countries where the traffic infrastructure is constructed to appropriate automobiles. Detecting moving vehicles in urban areas is difficult because the inter-vehicle space is significantly reduced, increasing the occlusion between vehicles. This issue is more challenging in developing countries where the roads are crowded with 2-wheeled motorbikes in rush hours. This paper presents a method to improve the occlusion vehicle detection from static surveillance cameras. The proposed method is a vision-based approach in which undefined blobs of occluded vehicles are examined to extract the vehicles individually based on the geometric and the ellipticity characteristic of objects' shapes. Experiments have been carried out with the real-world data to evaluate the performance and the accuracy of our method. The assessment results are promising for a detection rate of 84.10% at daytime.
交通监控系统(TSS)在提取必要的信息(数量、类型、速度等)方面起着重要作用。在交通监控系统(TSS)中,车辆检测已成为一个有影响的研究领域。到目前为止,已经有相当多的研究来适应这个问题。然而,这些研究几乎是针对发达国家的问题,在发达国家,交通基础设施的建设是为了适应汽车。在城市地区检测移动车辆是困难的,因为车辆之间的空间大大减少,增加了车辆之间的遮挡。这个问题在发展中国家更具挑战性,因为在高峰时间,道路上挤满了两轮摩托车。提出了一种改进静态监控摄像机遮挡车辆检测的方法。该方法是一种基于视觉的方法,该方法对被遮挡车辆的未定义斑点进行检测,并根据物体形状的几何和椭圆性特征单独提取车辆。用实际数据进行了实验,以评估我们的方法的性能和准确性。评价结果表明,白天的检出率为84.10%。
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引用次数: 13
Analytical modelling fast pyrolysis of biomass particles in fluidized bed reactor 生物质颗粒在流化床反应器中快速热解的分析建模
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030963
Vu Duy Pham, H. Nguyen, V. V. Tran, L. Nguyen-Dinh, H. Hoang
Determining suitable biomass particle size and pyrolysis time plays a crucial role in designing and improvement the performance of biomass fast pyrolysis in fluidized bed reactors for bio-oils production. Current numerical modelling investigations has not dealt with the particle sizes and fast pyrolysis time. In this paper, analytical methods were applied to investigate unsteady temperature fields and the relationship between residence time and particle sizes for fast pyrolysis of bagasse and wood in the fluidized bed reactor. Mathematical model based on well-known heat conduction equations was developed in the MATLAB to simulate unsteady temperature fields and investigate the impacts of particles sizes on the residence time. The results shown that active pyrolysis begins occurring between 230 °C to 300 °C depending on the reactor temperature. Particle sizes and types of biomass have significant impact of the residence time of fast pyrolysis. According to the study, the maximum radius of bagasse and wood particles for fast pyrolysis is 2.25 mm and 1 mm respectively at 500 °C of reactor temperature.
确定合适的生物质粒度和热解时间对于设计和提高生物油流化床生物质快速热解反应器的性能至关重要。目前的数值模拟研究还没有处理颗粒大小和快速热解时间。采用分析方法研究了蔗渣和木材在流化床快速热解过程中的非定常温度场及停留时间与粒径的关系。基于著名的热传导方程,在MATLAB中建立数学模型,模拟非定常温度场,研究颗粒尺寸对停留时间的影响。结果表明,根据反应器温度的不同,活性热解在230℃~ 300℃之间开始发生。生物质颗粒大小和类型对快速热解停留时间有显著影响。根据研究,在500℃的反应器温度下,蔗渣和木材颗粒的最大快速热解半径分别为2.25 mm和1 mm。
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引用次数: 3
Comparative simulation results of DVR and D-STATCOM to improve voltage quality in distributed power system DVR与D-STATCOM在提高分布式电力系统电压质量中的对比仿真结果
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030864
N. Minh, B. Q. Khanh, Pham Viet Phuong
This paper presents the comparative improvement of the voltage profile of the distributed power system using a Dynamic Voltage Restorer (DVR) and a Distributed Static Synchronous Compensator (D-STATCOM). The IEEE benchmark 13-bus distributed power system is used to present the distributed power grid. A proposed DVR is connected in series with bus 632 while a D-STATCOM is connected in parallel with bus 632. Comparative simulation results of the system with DVR and D-STATCOM are performed by using commercial MATLAB software. It can be concluded from the simulation results that DVR is suitable to mitigate the voltage sag of the load side while D-STATCOM can enhance the voltage stability margin of the buses that are located near the connected bus of the proposed D-STATCOM in the distributed grid.
采用动态电压恢复器(DVR)和分布式静态同步补偿器(D-STATCOM)对分布式电力系统的电压分布进行了比较改进。采用IEEE基准的13总线分布式电源系统来表示分布式电网。所提出的DVR与632总线串联,D-STATCOM与632总线并联。利用商用MATLAB软件对系统与DVR和D-STATCOM进行了对比仿真。仿真结果表明,DVR适用于缓解负载侧电压凹陷,而D-STATCOM适用于提高分布式电网中D-STATCOM连接母线附近母线的电压稳定裕度。
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引用次数: 9
Improvement of conventional solar drying system 传统太阳能干燥系统的改进
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030964
N. V. Lân
This research proposes a combined-drying system as a design solution to improve the performance of conventional solar drying systems in terms of the uniformity of taste and humidity remain in dried crops thanking to controlled and stabilized drying parameters. The design is an active solar drying type in which the even distribution of hot air flow over the crops is emphasized and made possible by a special chamber geometrical structure; and drying parameters including chamber indoor temperature; humidity and air velocity are controlled within specific value ranges by a relevant automatic control system. Three kinds of crops, including jackfruit, banana and bitter-melon have been tested. Results have shown that the design actually maintained well the set values of drying temperature and air flow rate while the chamber's structure did help distribute the heat evenly on the crops. The taste of the dried crops was practically examined by experts and confirmed to be excellent, and humidity remain in the crops was quite uniform with only 1.5% difference maximum. Besides, although daily weather condition does affect on the contribution of the absorbed solar energy, in the testing condition, it contributed around 59% of the total energy consumption.
本研究提出了一种联合干燥系统作为一种设计解决方案,以改善传统太阳能干燥系统在干燥作物的味道和湿度保持均匀性方面的性能,感谢控制和稳定的干燥参数。该设计是一种主动太阳能干燥型,其中强调热气流在作物上的均匀分布,并通过特殊的腔室几何结构使其成为可能;干燥参数包括室内温度;湿度和风速由相应的自动控制系统控制在特定的数值范围内。包括菠萝蜜、香蕉和苦瓜在内的三种作物已经进行了测试。结果表明,该设计能很好地保持干燥温度和空气流速的设定值,而干燥室的结构有助于将热量均匀地分配到作物上。经专家实际检验,干燥后的作物口感优良,湿度保持均匀,最大差异仅为1.5%。此外,虽然日常天气条件对吸收太阳能的贡献有影响,但在测试条件下,它占总能耗的59%左右。
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引用次数: 3
Advanced control methods for two-wheeled mobile robots 两轮移动机器人的先进控制方法
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030894
Khanh G. Tran, P. D. Nguyen, NamHoai Nguyen
A complete overview in recent years, concerned with the classification, control methods, applications and future works for two-wheeled mobile robot (TWMR), is presented. There have been three main types of TWMRs: input coupling, without input coupling and reaction wheel. For the second model (TWMR without input coupling), a variety of control methods have been proposed from the classical method PID to advanced methods such as sliding mode control, adaptive control, robust control, back-stepping, and fuzzy inference system based control. There have been vital applications of TWMRs, for example, Segway, E-scooter and TWMR based cars. There have been some unsolved challenging control problems, such as controllability, moving on non-flat surface, inclined path, control of TWMRs with input-coupling, control of TWMRs with reaction wheel and safety.
对近年来两轮移动机器人的分类、控制方法、应用及未来工作进行了全面的综述。twmr主要有三种类型:输入耦合、无输入耦合和反作用轮。对于第二种模型(无输入耦合TWMR),人们提出了多种控制方法,从经典的PID方法到先进的方法,如滑模控制、自适应控制、鲁棒控制、反演和基于模糊推理系统的控制。TWMR已经有了重要的应用,例如,赛格威,电动滑板车和基于TWMR的汽车。可控制性、非平坦路面运动、倾斜路径、输入耦合控制、反力轮控制和安全性等具有挑战性的控制问题尚未得到解决。
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引用次数: 4
Environmental treating wastewater from laboratory by plasma at atmospheric pressure 大气压等离子体环境处理实验室废水
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030958
T. Dam
The waste water has been strongly negative affected to human life in large area, especially wastewater from laboratory because of a lot of chemicals and bacteria. The disadvantages of the currently state are the using treatment systems with low treatment efficiency, costly and unstable due to using microbiological, biochemistries, combining physical chemistry method, or advanced oxidation process. In this study, the treatment wastewater from laboratory using plasma at low temperature and at atmospheric pressure was designed and developed to solve the above disadvantages. An 80 l/h treatment system was completed and assembled in the Dong Thap Experiment Technique and Applying Science Technology Center DOTAST to test and evaluate the treatment efficiency. In order to prove the stability of the processing system, before and after treating, water samples were collected and tested by the DOTAST at various times. The results showed that treatment efficiency reached to 70–90% and satisfy QCVN 40: 2011/BTNMT column A. The system is stable, compact, automated and saving energy.
废水,尤其是实验室废水,由于含有大量的化学物质和细菌,对人类的生活产生了很大的负面影响。目前状态的缺点是由于使用微生物法、生物化学法、结合物理化学法或高级氧化法,处理效率低,成本高,不稳定。本研究针对上述缺点,设计开发了低温常压等离子体处理实验室废水。在东塔实验技术与应用科学技术中心DOTAST完成了80 l/h处理系统的组装,对处理效果进行了测试和评价。为了证明处理系统的稳定性,在处理前和处理后,DOTAST在不同时间采集水样并进行测试。结果表明,处理效率可达70-90%,满足QCVN 40: 2011/BTNMT a柱要求。该系统稳定、紧凑、自动化、节能。
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引用次数: 0
A study of Aloe vera peeling and dicing system 芦荟去皮切丁系统的研究
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030834
T. Tho, Nguyen Truong Thinh
Based on the actual demand, the Aloe peeling and dicing system is designed and developed to solve the time-consuming problem of peeling and dicing step, enhance the effect of peeling and keep the continuous process with the capacity of 5000 kg/hr. To do this, three mechanisms of filleting, peeling, and dicing are designed and development. In this paper, the methodology to design to analyze the mechanical mechanisms as well as electrical system are presented. The design process is described in detail and some tests are performed to give an overview about the Aloe peeling and dicing system. In conclusion, Aloe peeling and dicing system is successfully designed and developed to meet the requirement of market.
根据实际需求,设计开发了芦荟去皮切丁系统,解决了去皮切丁步骤耗时的问题,提高了去皮效果,保持了过程的连续性,容量为5000kg /hr。为此,设计和开发了三种机制:切片、去皮和切丁。本文介绍了机械机构和电气系统的设计分析方法。详细介绍了芦荟去皮切丁系统的设计过程,并进行了一些试验,对芦荟去皮切丁系统进行了概述。综上所述,设计开发的芦荟去皮切丁系统能够满足市场的需求。
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引用次数: 1
Identification and Dynamic Matrix Control algorithm for a heating process 加热过程辨识及动态矩阵控制算法
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030954
Vo Lam Chuong, Truong Nguyen Luan Vu
In this paper, a novel identification method is proposed on the basis of Dynamic Matrix Control (DMC) algorithm. The high order model of the system is first identified using continuous process model with time delay. The lower order model is then systematically obtained by considering some well-known approximation techniques. The DMC algorithm is developed to get an optimal control sequence for the linear model with a quadratic cost function. The process disturbance is also investigated to evaluate the quality of the controller. The control algorithms are programmed in the Matlab/Simulink software adopting Real-Time Window Target and a PCI card to execute in the real system. As a result, the proposed controller affords significantly the improvement of overall performance in compared with the classical PID controller for both the set-point and disturbance rejection problems.
本文在动态矩阵控制(DMC)算法的基础上,提出了一种新的辨识方法。首先利用带时滞的连续过程模型确定了系统的高阶模型。然后利用一些著名的近似技术系统地得到了低阶模型。为了得到具有二次代价函数的线性模型的最优控制序列,提出了DMC算法。为了评价控制器的质量,还研究了过程扰动。控制算法在Matlab/Simulink软件中编程,采用real - time Window Target和PCI卡在实际系统中执行。结果表明,与经典PID控制器相比,该控制器在设定点和抗扰问题上的总体性能都有显著提高。
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引用次数: 1
Environmental enhancing adhesion properties of Wood-Plastic Composites by plasma at atmospheric pressure 常压等离子体增强木塑复合材料的环境粘附性能
Pub Date : 2017-07-01 DOI: 10.1109/ICSSE.2017.8030956
T. Dam
Chemical enhancing adhesion properties of Wood-Plastic Composite (WPC) has been strongly negative affected to human life. The disadvantages of the currently treatment system are low treatment efficiency, costly and unstable due to using combining physics and chemistry methods. In this study, the adhesion wood-plastic composite in line production system using plasma at atmospheric pressure was designed and developed to solve the above disadvantages. The before and after treating, the percentage of area removed of samples were measured by Elcometer 107 Cross Hatch Cutter and ImageJ software for adhesion evolution. Applied power, carrier speed and treatment cycle times were used for analyzing the adhesion efficiency. The results showed that applied power and treatment cycle time are strongly effect to adhesion efficiency. Moreover, carrier speed is also effective. The treatment efficiency leads to higher than 3B standard at applied power 156W, 750mm/min and three treatment times.
木塑复合材料的化学增粘性能对人类的生活产生了强烈的负面影响。目前的处理系统由于采用物理与化学相结合的方法,存在处理效率低、成本高、不稳定等缺点。本文针对上述缺点,设计开发了常压等离子体粘接木塑复合材料在线生产系统。采用Elcometer 107 Cross Hatch Cutter和ImageJ软件对处理前后样品的面积去除率进行测定。采用施加功率、载流子速度和处理循环次数来分析粘附效率。结果表明,施加功率和处理周期对粘附效率有较大影响。此外,载波速度也是有效的。在应用功率156W、功率750mm/min、处理次数3次时,处理效率高于3B标准。
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引用次数: 1
期刊
2017 International Conference on System Science and Engineering (ICSSE)
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