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2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST)最新文献

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Estimating Conductivity and Interfacial Polarization Loss Factors of Oil-paper Insulation for Power Transformers 电力变压器油纸绝缘电导率及界面极化损耗因子的估算
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165397
P. Nimsanong, S. Maneerot, N. Pattanadech
This paper proposes the method for categorizing the estimating conductivity and interfacial polarization loss factors of the oil-paper insulation. The simulated dielectric responses in the time domain of oil-paper insulation with various conditions were studied. Lumped equivalent circuit, so-celled extended Debye model, for modeling the oil-paper insulation obtained from simulated results, were estimated by using ohm’s law for conduction current, and a curve fitting technique with exponential functions applied to the depolarization current idep(t). The complex capacitance, conductivity loss factor, and interfacial polarization loss factor of the insulation system in the frequency domain from 0.01 mHz to 1 Hz can be calculated.
提出了油纸绝缘电导率和界面极化损耗因子的分类估计方法。研究了不同条件下油纸绝缘的时域模拟介电响应。利用欧姆传导电流定律和指数函数对去极化电流idep(t)的曲线拟合技术,对模拟结果得到的油纸绝缘进行了集总等效电路,即扩展Debye模型的估计。可以计算出绝缘系统在0.01 mHz ~ 1hz范围内的复电容、电导率损耗因子和界面极化损耗因子。
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引用次数: 0
Deep Learning Technology for Drunks Detection with Infrared Camera 红外摄像机醉酒检测的深度学习技术
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165395
Pisit Iamudomchai, Pattanawadee Seelaso, Satjana Pattanasak, W. Piyawattanametha
This project manipulates for the purpose to solve the problem of alcohol measurement delays and reduces the issue of contamination that arises from the breath analyzer test. This project focuses on designing a novel infrared (IR) camera-based alcohol detection system with deep learning technology. This system consists of 2 parts. The first part is an infrared camera (FLIR) used for collecting both IR and normal images then the next part is an image processing system for alcohol detection based on deep learning technology operating on an iPhone operating system (iOS) mobile phone. Our handheld IR based detection system achieves an accuracy of 85.10% (135 population) accuracy with 4 levels of classification (sober, 1 glass, 2 glasses, or 3 glasses) and 74.07% with binary identification (Sober or Drunk). Each glass contains 200 ml of beer (5% vol).
该项目旨在解决酒精测量延迟的问题,并减少呼吸分析仪测试产生的污染问题。本课题的重点是设计一种基于红外摄像机的深度学习酒精检测系统。本系统由两部分组成。第一部分是红外相机(FLIR),用于采集红外和正常图像,接下来是基于深度学习技术的酒精检测图像处理系统,运行在iPhone操作系统(iOS)手机上。我们的手持式红外检测系统在4级分类(清醒、1杯、2杯或3杯)下的准确率为85.10%(135人),在二元识别(清醒或醉酒)下的准确率为74.07%。每个杯子含有200毫升啤酒(5%的体积)。
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引用次数: 7
ICEAST 2020 Copyright and Reprint Permission ICEAST 2020版权及转载许可
Pub Date : 2020-07-01 DOI: 10.1109/iceast50382.2020.9165479
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引用次数: 0
An Improved Performance Simulated Annealing Based On Evolution Strategies for Single Objective Optimization Problems 基于进化策略的单目标优化问题改进性能模拟退火
Pub Date : 2020-07-01 DOI: 10.1109/iceast50382.2020.9165417
V. Chutchavong, T. Pumee, S. Thongkrairat, T. Anuwongpinit
This paper presents solutions for single objective optimization problems with developed algorithm from simulated annealing based on a simple (μ + λ) -ES, It is divided into two algorithms, separated mutation (SM1) and survival mutation (SM2). After that, compared with randomized local search and simulated annealing. The test function is part of the IEEE WCCI 2020 on the topic of CEC-C2 single objective bound constrained optimization. This research has chosen the basic functions in the test such as Bent cigar function, rastrigin function, high conditioned elliptic function, HGBat function, rosenbrock’s function, griewank’s function, discus function, expanded schaffer’s function, weierstrass function, sphere function, natyas function, lévi function N.13, himmelblau’s function, and three-hump camel function. These functions are attract attention and competition. A results of SM1 and SM2 can solve single objective optimization problems better than RLS and SA. In high conditioned elliptic, The fitness value of RLS is equal to 3.96E-11, The fitness value of SA is equal to 8.12E-10, The fitness value of SM1 is equal to 5.39E-14 and The fitness value of SM2 is equal to 9.70E-15, It let us show the efficiency of SM2 that can get better results than SM1.
本文提出了基于简单(μ + λ) -ES的模拟退火算法求解单目标优化问题,该算法分为分离突变(SM1)和生存突变(SM2)两种算法。然后,将随机局部搜索和模拟退火进行比较。该测试函数是IEEE WCCI 2020关于CEC-C2单目标边界约束优化主题的一部分。本研究选取了实验中的基本函数,如Bent cigar函数、rastrigin函数、高条件椭圆函数、HGBat函数、rosenbrock函数、griewank函数、discus函数、expanded schaffer函数、weerstrass函数、sphere函数、natyas函数、lsamvi函数N.13、himmelblau函数、三驼峰骆驼函数。这些功能是吸引注意力和竞争。SM1和SM2的结果比RLS和SA更能解决单目标优化问题。在高条件椭圆中,RLS的适应度值为3.96E-11, SA的适应度值为8.12E-10, SM1的适应度值为5.39E-14, SM2的适应度值为9.70E-15,说明SM2的效率优于SM1。
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引用次数: 6
Wireless Pressure Measurement Prototype for the Elderly 老年人无线压力测量样机
Pub Date : 2020-07-01 DOI: 10.1109/iceast50382.2020.9165346
N. Seangsuwan, S. Tammaruckwattana
This paper presents the wireless pressure measurement prototype for the elderly likely processes data by real time informative collecting, due to parts of feet getting adhesively a joint to other body’s organism, such as its eye sights, heart, brain, and lungs. Therefore, pressure steps of movement with adjustable measurements are conductively evaluated a mis-behavioral effect of this puncture, especially on diseases’ analysis. In concern with our productive Wireless Measurement Force Sensor is being made for use of helping on feet by Force Sensor Resistor (FSR), consisting of six adjoints as though it collecting such informative ranges when steps. In which of being collaborated with LabView processing via Bluetooth. It could detect the force pressure of sitting, sleeping and walking.
本文提出了一种老年人无线压力测量样机,该样机可能通过实时信息收集来处理数据,因为脚的某些部分与其他身体的有机体(如眼睛、心脏、大脑和肺部)具有粘连性。因此,具有可调测量的运动压力步骤可以有效地评估这种穿刺的错误行为效果,特别是在疾病分析中。考虑到我们的生产无线测量力传感器正在制造用于力传感器电阻(FSR)的脚上帮助,由六个接头组成,好像它在步骤时收集这样的信息范围。其中通过蓝牙与LabView协同处理。它可以检测坐着、睡觉和走路时的压力。
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引用次数: 1
Development of High-Speed Railway System Teaching Platform in Thailand 泰国高速铁路系统教学平台的开发
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165467
V. Chutchavong, T. Anuwongpinit, S. Thongkrairat, Alongkorn Vijittanasan, T. Pumee, M. Lertwatechakul
Computer Assisted Instruction (CAI) is well-known as the most effective tool for interactive education and training. Such kind of tools is essential for learning and practicing in high-speed rail system that engages very complex technologies. In this paper, we propose designing and developing of a high-speed railway system teaching platform that can simulate major railway subsystems include train service planning, timetabling, train utilization, and train operation and control. The teaching platform will provide realistic and clear demonstrations of a high-speed railway system by using Thailand’s first high-speed rail route.
计算机辅助教学(CAI)是众所周知的最有效的交互式教育和培训工具。这样的工具对于高铁系统中涉及非常复杂的技术的学习和实践是必不可少的。本文提出设计和开发一个高速铁路系统教学平台,该平台可以模拟列车服务规划、列车调度、列车利用和列车运行与控制等主要铁路子系统。该教学平台将利用泰国第一条高铁线路,提供真实、清晰的高铁系统演示。
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引用次数: 1
Using an Android Devices as Mobile Extensible HMIs 使用Android设备作为移动可扩展hmi
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165517
T. Cheypoca, Kongsuk Anuntahirunrat
In this paper, an android application monitoring and control with programmable logic controller (PLC) system is proposed, which helps the production engineer self-correct the system without restriction of time and place. The proposed android application consists of smart phone, access point and PLC Siemens S7-1200. The feasibility of this method is illustrated by experimental using different parameter databases. Recognition results show this approach is efficient.
本文提出了一种基于可编程逻辑控制器(PLC)的android应用监控系统,该系统可以帮助生产工程师在不受时间和地点限制的情况下对系统进行自我纠错。所提出的android应用程序由智能手机、接入点和西门子S7-1200 PLC组成。通过不同参数数据库的实验验证了该方法的可行性。结果表明,该方法是有效的。
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引用次数: 0
Full Adder Circuit using Multi-Input MRL 使用多输入MRL的全加法器电路
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165308
Suparlerk Yamtim, S. Tooprakai
this paper proposes the Full Adder Circuit using Multi-Input MRL without CMOS. It is designed by Multi-Input MRL which component and delay time less than 1-bit full adder circuit using Hybrid Memristor-CMOS logic. Structure of Purpose circuit is most simple. The performances of Purpose circuit are compared with another full adder circuits are carried out by using LTspice simulator
本文提出了一种不含CMOS的多输入MRL全加法器电路。采用混合忆阻器- cmos逻辑,采用多输入MRL设计元件和延迟时间小于1位的全加法器电路。目的电路结构最简单。利用LTspice模拟器对目的电路与其他全加法器电路的性能进行了比较
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引用次数: 1
Detection of Hard Exudate for Diabetic Retinopathy Using Unsupervised Classification Method 非监督分类法检测糖尿病视网膜病变硬渗出液
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165498
Noppadol Maneerat, Teerapon Thongpasri, Athasart Narkthewan, C. Kimpan
Diabetic retinopathy (DR) causes retinal disorders such as blood vessel blockage, the leaks of blood, and the proteins in water bleeding into the tissues of retina. All of the symptoms lead to the destruction of retina resulting in reduced visibility or finally lose vision. Therefore, this study presents an image processing method to extract hard exudates in the retinal image, which is a serious symptom of diabetic retinopathy using an unsupervised classification method. The proposed hard exudates extraction method composes of 3 steps. Firstly, the optic disc similar to hard exudate is eliminated from the retinal image. Subsequently, the green channel of the RGB color model is selected for data analysis because it represents all hard exudates better than the red and blue channels. The features of hard exudates in the retinal image are then extracted by various methods such as dilation, erosion, entropy analysis, and standard deviation analysis and it also appeared in many dimensions. Finally, the proposed method uses k-mean, which is an unsupervised classification technique for hard exudates clustering. The determination of hard exudates from the retinal image is achieved using two datasets (DIARETDB0 and DIARETDB1). These datasets are usually used for algorithm efficiency analysis to retinal image evaluation. The results show that the maximum specificity is approximate 97%. It indicates that the proposed method can be applied for the automatic detection of diabetic retinopathy.
糖尿病性视网膜病变(DR)会导致视网膜病变,如血管阻塞、血液泄漏、水中的蛋白质出血到视网膜组织中。所有这些症状都会导致视网膜的破坏,从而导致能见度降低或最终失明。因此,本研究提出了一种采用无监督分类方法提取视网膜图像中作为糖尿病视网膜病变严重症状的硬渗出物的图像处理方法。本文提出的硬渗出物提取方法分为3个步骤。首先,从视网膜图像中去除类似硬渗出物的视盘。随后,选择RGB颜色模型中的绿色通道进行数据分析,因为绿色通道比红色和蓝色通道更能代表所有硬渗出物。然后通过扩张、侵蚀、熵分析、标准差分析等多种方法提取视网膜图像中硬渗出物的特征,并在多个维度上表现出来。最后,提出的方法使用k-mean,这是一种用于硬渗出物聚类的无监督分类技术。使用两个数据集(DIARETDB0和DIARETDB1)来确定视网膜图像中的硬渗出物。这些数据集通常用于视网膜图像评估的算法效率分析。结果表明,最大特异性约为97%。结果表明,该方法可用于糖尿病视网膜病变的自动检测。
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引用次数: 2
Mitigation technique for LTE-LAA and LTE-LWA coexistence LTE-LAA和LTE-LWA共存的缓解技术
Pub Date : 2020-07-01 DOI: 10.1109/ICEAST50382.2020.9165524
Narongchon A-mapat, P. Moungnoul
An implementation of Mobile network providers on 5G network are coexistence between LTE-LAA and LTE-LWA network. It was applied to achieve the objective of improve network performance and optimize resources. This paper is study the investigated LTE-LAA and LTE-LWA coexistence with Wi-Fi controlled Technique in different scenarios. The results show the distance between 50–600 meter and LTE-LWA was extremely affect by LTE-LAA. The controlled Wi-Fi AP technique is effective method to mitigate the network degradation problem.
移动网络运营商在5G网络上的一种实现是LTE-LAA和LTE-LWA共存。它的应用是为了达到提高网络性能和优化资源的目的。本文研究了LTE-LAA和LTE-LWA在不同场景下与Wi-Fi控制技术共存的情况。结果表明,LTE-LAA对50 ~ 600米的LTE-LWA距离影响较大。可控Wi-Fi AP技术是缓解网络退化问题的有效方法。
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引用次数: 0
期刊
2020 6th International Conference on Engineering, Applied Sciences and Technology (ICEAST)
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