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2018 International Electrical Engineering Congress (iEECON)最新文献

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Experimental Investigation of Electrical Discharge Plasma in Air Microbubbles Water Mixture 空气微泡水混合物中放电等离子体的实验研究
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712338
C. Dechthummarong
This research focused on studying a DC plasma discharge underwater with mixed high-density of air micro-bubbles water by experimental research for generating of free radicals and highly chemically active species in the activated water. The simple laboratory-made high voltage DC power supply based on half wave rectifier of voltage doubler circuit of 12 kVp. A point-to-point electrode setup was immersed in the water. Electrical DC-discharge plasma though micro air-bubbles water was investigated by current and voltage probe. The yields from electrical discharge plasma in the water were measured by detecting of pH, conductivity, ozone (O3), nitrate (NO3-), and hydrogen peroxide (H2O2). During underwater discharge plasma with mixture of micro air-bubbles in water condition, the maximum voltage and current were applied approximately 5 kVp and 1 Ap, respectively. The chemically reactive species concentrations of water were measured as a function of treatment time for 4 minutes. The results shown that O3, H2O2 and N03-obtained more than 5 mg/L, 25 mg/L, and 90 mg/L, respectively. Moreover, the discharge plasma with the air micro-bubbles water presented significantly correlation between chemical active species production and the input energy transfer.
本研究重点研究了高密度空气微泡水水下直流等离子体放电,通过实验研究了活性水中自由基和高化学活性物质的生成。基于12 kVp倍压电路半波整流器的简易实验室制高压直流电源。将点对点电极装置浸入水中。用电流和电压探头研究了直流放电等离子体通过微气泡水的过程。通过测定水中的pH、电导率、臭氧(O3)、硝酸盐(NO3-)和过氧化氢(H2O2)来测定放电等离子体的产率。在水中条件下,混合微气泡水下放电等离子体时,施加的最大电压和电流分别约为5 kVp和1 Ap。测定水中化学反应物质浓度随处理时间的变化情况,处理时间为4分钟。结果表明,O3、H2O2和n03的浓度分别大于5 mg/L、25 mg/L和90 mg/L。此外,放电等离子体与空气微泡水的化学活性物质产生与输入能量传递呈显著相关。
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引用次数: 0
Performance of the Module Temperature Model in Forecasting the Power Output of Photovoltaic Systems 组件温度模型在光伏系统输出功率预测中的性能
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712317
P. Dawan, Kaweepoj Worranetsuttikul, Songkiate Kittisontirak, K. Sriprapha, W. Titiroongruang, Surasak Niemcharocn
This paper is the study the performance of the temperature model in forecasting the power output of photovoltaic systems. The prominent point of the solar power forecasting model was to use only one input parameter (solar irradiance). Solar irradiance was injected into the temperature model using mathematic equations. The output of temperature model and the solar irradiance was used by the solar power forecasting model for forecasting the power output of the photovoltaic systems. The results shows that the effectiveness of the temperature model had a discrepancy at 4.03%, which is acceptable.
本文研究了温度模型在光伏系统输出功率预测中的性能。该模型的优点是只使用一个输入参数(太阳辐照度)。利用数学方程将太阳辐照度注入温度模型。太阳能发电预测模型利用温度模型和太阳辐照度的输出来预测光伏发电系统的输出功率。结果表明,温度模型的有效性偏差为4.03%,可以接受。
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引用次数: 1
Stablizied and Rotating Mechanism of 2D Laser Scanner for 3D Point Cloud Reconstruction 二维激光扫描仪用于三维点云重建的稳定和旋转机理
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712339
P. Prempraneerach, Thanapong Usupan
This research presents a stabilizing and rotating mechanism for laser scanner; thus 3D cloud points could be reconstructed. Design and development of a vertical scanning system and a roll-motion stabilizing system for laser point-cloud data, measured radial distance horizontally, are implemented. By using an encoder to feedback a roll angle, the first DC servo motor with a PI controller can assist stabilizing horizontal point-cloud data. A four-bar linkage mechanism, driven by the second DC motor and controlled by a feedforward controller with Inertial Measurement Unit (IMU) pitch-angle feedback, could generate $pmb{pm 16.5^{circ}}$ up-and-down pitching motion of the laser scanner. Both digital feedback controllers of two motors are developed in an Arduino microcontroller. Kinematics model of the four-bar linkage mechanism are derived and simulated for a design purpose. Experimental tests of the first motor, controlled by the PI-controller, reveal robustness against external-force disturbances, acting on the laser scanner, and demonstrate a roll-motion counterweight of the mechanism base. In additions, experiments of the second motor with the feedforward controller can compensate for gravity to achieve periodical cycles of the four-bar linkage motion. Reconstructed 3D point-cloud surface from laser 2D cloud points can provide accurate horizontal width and smooth-continuous height of measured indoor wall.
本研究提出了一种激光扫描仪的稳定旋转机构;从而可以重建三维云点。实现了激光点云数据垂直扫描系统和滚动稳定系统的设计与开发。通过使用编码器来反馈滚转角度,第一个带有PI控制器的直流伺服电机可以帮助稳定水平点云数据。由第二直流电机驱动的四杆连杆机构,由具有惯性测量单元(IMU)俯仰角反馈的前馈控制器控制,可产生$pmb{pm 16.5^{circ}}$上下俯仰运动。两个电机的数字反馈控制器都是在Arduino微控制器上开发的。推导了四杆机构的运动学模型,并对其进行了仿真。由pi控制器控制的第一台电机的实验测试表明,该电机对作用在激光扫描仪上的外力干扰具有鲁棒性,并演示了机构基座的滚动运动配重。此外,利用前馈控制器对第二电机进行实验,可以补偿重力,实现四杆机构运动的周期性循环。由激光二维云点重建三维点云面,可提供测量室内墙体的精确水平宽度和平滑连续高度。
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引用次数: 0
Human Computer Interaction and Usability Engineering of Thai Word Search Keyboard Application for Students with Learning Disabilities 学习障碍学生泰语搜索键盘应用的人机交互与可用性工程
Pub Date : 2018-03-01 DOI: 10.1109/ieecon.2018.8712193
Onintra Poobrasert, Thaphat Mupattararot
Human-Computer Interaction is a study of focusing on the design of computer technology, in particular, the interaction between the users and computers. Consequently, it is important especially when designing and developing a tool such as assistive technology tool for students with learning disabilities. Assistive technology is a tool that helps increase potential or improve capability of exceptional students, so that they will have more learning potential and hence they can study effectively. In addition, assistive technology can be used as a tool by teachers to facilitate learning management and provide learning opportunity to students. A Thai Word Search Keyboard Application was developed to help students with writing and spelling disabilities to be able to select the right vocabularies. Thai Word Search Keyboard Application, which was still a lab prototype, was tested for performance with teachers and related persons who had ever worked with students with learning disabilities. The researchers use a heuristic evaluation in this study. The evaluation result from functional requirement and usability tests was at a high level, while the result from functional tests was at a moderate level. Those results would be a guideline for improving the next version of Thai Word Search Keyboard Application.
人机交互是一门专注于计算机技术设计的研究,特别是用户与计算机之间的交互。因此,在为有学习障碍的学生设计和开发诸如辅助技术工具等工具时,这一点尤为重要。辅助技术是一种帮助特殊学生增加潜力或提高能力的工具,使他们有更多的学习潜力,从而有效地学习。此外,辅助技术可以作为教师方便学习管理的工具,为学生提供学习机会。开发了一个泰语单词搜索键盘应用程序,以帮助有写作和拼写障碍的学生能够选择正确的词汇。泰语单词搜索键盘应用程序,仍然是一个实验室的原型,测试性能的教师和相关人员曾经与学习障碍的学生工作。研究人员在本研究中使用了启发式评估法。功能需求和可用性测试的评价结果处于较高水平,而功能测试的评价结果处于中等水平。这些结果将为改进下一个版本的泰语单词搜索键盘应用程序提供指导。
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引用次数: 0
A Study on Thermoelectric Power Generator by Solar Energy Using Fresnel Lens 利用菲涅耳透镜研究太阳能热电发电机
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712218
Mati Nararom, P. Bamroongkhan
This thermoelectric power generation from solar radiation used an optical lens to focus solar energy onto the thermoelectric module. The distance between the optical lens and thermoelectric module was determined to investigate the highest temperature value of the hot side of the thermoelectric module and the heat dissipation on the cold side by using a 12 VDC fan. The results showed that the maximum temperature of the hot side was 69.6 °C and the temperature difference was 38.6 °C. The thermoelectric module could produce 1.03 W power output with an energy conversion efficiency of 1.81%. This power can be applied to small bulbs or rechargeable batteries.
这种由太阳辐射产生的热电发电使用光学透镜将太阳能聚焦到热电模块上。确定光学透镜与热电模块之间的距离,利用12 VDC风扇研究热电模块热侧的最高温度值和冷侧的散热情况。结果表明:热侧最高温度为69.6℃,温差为38.6℃;该热电模块输出功率为1.03 W,能量转换效率为1.81%。这种能量可以应用于小灯泡或可充电电池。
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引用次数: 4
Modified Current Feedback vs Voltage Feedback Signals Distortion Effect 修正电流反馈vs电压反馈信号失真效应
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712244
S. Kongjareansuk, K. Jirasereeamornkul
In this paper, the modified circuit signals distortion effects of feedback current in comparison with the voltage feedback were discussed. The result from comparison circuit is the current feedback affects high signals distortion and independent of the internal components as the voltage feedback. The objective of this modification is to improve high signal distortions. The comparison of a harmonic signal output (THD: 58.33% load $pmb{10}mathbf{k}pmbOmega$) with a frequency response well to 9.36MHz and display simulated by the OrCAD PSpice.
本文讨论了反馈电流对修正电路信号畸变的影响,并与电压反馈进行了比较。比较电路的结果是电流反馈对信号失真的影响较大,并且与内部元件的电压反馈无关。这种修改的目的是改善高信号失真。谐波信号输出(THD: 58.33%负载$pmb{10}mathbf{k}pmbOmega$)的频率响应好于9.36MHz,并通过OrCAD PSpice仿真显示。
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引用次数: 0
A Soft Sensor for Prediction of Temperature Rises on a Ball Screw Shaft Using Extreme Learning Machine 用极限学习机预测滚珠丝杠轴温升的软传感器
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712237
Witchukorn Dcchrudee, S. Wongsa, Shyh‐Leh Chen
A high speed ball screw driving system generates considerable heat and causes significant thermal expansion, which affects the accuracy of position. In order to properly deal with thermal errors and resultant thermal deformation, continuous precision thermal monitoring along the ball screw shaft is required. However, the working temperature of the ball screw shaft is difficult to measure online. Therefore, in this paper we propose a soft sensor based on an extreme learning machine (ELM) method for predicting the distributions of temperature rises on the ball screw shaft of a feed drive. ELM is an emerging learning algorithm for single-hidden layer feedforward neural networks (SLFNs) training that has recently attracted many researchers' interest due to its impressive generalisation performance at fast training speed. The performance of the ELM soft-sensor is investigated on the thermal expansion process of the ball screw system simulated by the finite element method (FEM). The results show that the ELM-based soft sensor provides good generalisation performance with much faster speed than the traditional backpropagation artificial neural network (BP-ANN).
高速滚珠丝杠传动系统会产生相当大的热量并引起显著的热膨胀,从而影响位置的精度。为了正确处理热误差和由此产生的热变形,需要沿滚珠丝杠轴进行连续的精密热监测。然而,滚珠丝杠轴的工作温度很难在线测量。因此,本文提出了一种基于极限学习机(ELM)的软测量方法来预测进给传动滚珠丝杠轴上的温升分布。ELM是一种用于单隐层前馈神经网络(SLFNs)训练的新兴学习算法,由于其在快速训练下令人印象深刻的泛化性能,近年来吸引了许多研究人员的兴趣。采用有限元法模拟滚珠丝杠系统的热膨胀过程,研究了ELM软传感器的性能。结果表明,基于elm的软传感器具有良好的泛化性能,其泛化速度远快于传统的反向传播人工神经网络(BP-ANN)。
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引用次数: 1
Target Setting of Power System Reliability Indices with Consideration of Maintenance Cost and Relevant Factors 考虑维护成本及相关因素的电力系统可靠性指标目标设定
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712337
Amorn Chamanghatthaphong, S. Chaitusaney
Target setting of power system reliability indices should consider the factors that affect to reliability. Also, there should be the quick way to get the index targets in order to be able to set up maintenance activities and to plan improvement of the power system, it is possible to reach the target in time. In this paper, preventive maintenance cost and line length are considered. Furthermore, the methods presented multiple linear regression and simple linear regression. The test results show that the analysis method can be used to set the targets quickly and in accordance with the factors taken into consideration.
电力系统可靠性指标的目标设定应考虑影响可靠性的因素。此外,还应该有快速获得指标目标的方法,以便能够建立维护活动并计划电力系统的改进,从而有可能及时达到目标。本文考虑了预防性维护费用和线路长度。采用多元线性回归和简单线性回归两种方法。试验结果表明,该分析方法可以根据所考虑的因素快速确定目标。
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引用次数: 0
Bilateral Filtering Embed with Edge Flow Feature 嵌入边缘流特征的双边滤波
Pub Date : 2018-03-01 DOI: 10.1109/IEECON.2018.8712242
Surachai Ongkittikul, Nattapong Jundang
The bilateral filtering is a blurring method that aims to preserve the strong edges in the image. This paper purposes the scheme that collaborate between the edge flow feature and the Gaussian function applied for the bilateral filter. From the edge flow feature, it sets up the reference points from the image to support the consideration of the bilateral filter. The reference points of edge flow feature consists of the magnitude and the direction of the edges of the image. Both features are employed to discriminate the objects in the image. These reference points of the edge flow feature are cooperated in the bilateral filter to improve the quality of the filter. The results of our scheme will compare with the generic of the bilateral filter that our scheme can perform very well.
双边滤波是一种模糊方法,目的是保留图像中的强边缘。本文采用边缘流特征与高斯函数相结合的方法进行双边滤波。从边缘流特征出发,从图像中设置参考点,支持对双边滤波器的考虑。边缘流特征的参考点由图像边缘的大小和方向组成。这两种特征都被用来区分图像中的物体。这些边缘流特征的参考点在双边滤波器中进行协作,以提高滤波器的质量。与一般的双边滤波器进行了比较,结果表明我们的方案具有很好的性能。
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引用次数: 0
Optimal Synthesis of Linear Antenna Array with wide Null Symmetry Using Novel Particle Swarm Optimization Technique 基于新型粒子群优化技术的宽零对称线性天线阵优化合成
Pub Date : 2018-03-01 DOI: 10.1109/ieecon.2018.8712304
Ragini Lanjewar, Vijaya Durga Bhavani Adusumalli, D. Mandal, R. Kar
Imposing nulls in the radiation pattern of a symmetric linear array antenna with constant phase and excitation current but different in spacing between the elements is dealt in this paper. This idea can be achieved using NPSO technique. For comparing the results, PSOCFA is also considered. Consequences of using this technique are that the symmetric single and wide null is achieved in particular direction with optimal normalized varying spacing between the elements.
本文研究了相位和激励电流恒定但单元间距不同的对称线阵天线的辐射方向图中施加零点的问题。这个想法可以通过NPSO技术来实现。为了比较结果,还考虑了PSOCFA。使用这种技术的结果是,对称的单一和宽null在特定方向上实现了最佳的标准化元素之间的变化间距。
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引用次数: 0
期刊
2018 International Electrical Engineering Congress (iEECON)
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