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2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)最新文献

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Clogged Pipe Detection and Monitoring by Using Acoustic Analysis Methodology 基于声学分析方法的管道堵塞检测与监测
Phattaleeya Mabpa, Piyasawat Navaratana Na Ayudhya, J. Kunthong
Clogged sewer pipelines are one of the main problems that cause Sanitary Sewer Overflow ( SSO) which leads to serious environmental issues and property damage. This work presented clogged pipe detection and monitoring methods based on acoustic analysis to identify pipe clogged occurrence and degree of blockage that can be mitigating the risks from SSO’s problems. The technique is to attach the vibration speaker on the pipe as an acoustic source. The clogged by blockage will be detected by reading the change in the pipe resonance frequency via the microphone installed on the other side of the pipeline. The resonance frequency of the measured signals was characterized by Fast Fourier Transforms (FFT). Compensation based line was used to normalize the frequency responses for easier acoustic analysis. The experiments have indicated the resonance frequency shifting down and Sound Pressure Level (SPL) decreasing when pipe clogged. Moreover, this paper provided the technique that offers small and noncomplex data which any classification method can identify pipe clogged easier in future work.
污水管道堵塞是造成污水溢流的主要问题之一,造成严重的环境问题和财产损失。这项工作提出了基于声学分析的堵塞管道检测和监测方法,以识别管道堵塞的发生情况和堵塞程度,从而降低SSO问题带来的风险。该技术是将振动扬声器连接在管道上作为声源。通过安装在管道另一侧的麦克风,通过读取管道谐振频率的变化来检测管道是否被堵塞。利用快速傅里叶变换(FFT)对测量信号的谐振频率进行表征。采用补偿线对频率响应进行归一化,便于声学分析。实验结果表明,管道堵塞时共振频率下降,声压级降低。此外,本文提供的技术提供了小而不复杂的数据,使任何分类方法都可以在今后的工作中更容易地识别管道堵塞。
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引用次数: 0
Comparing Classifiers for the Prediction of the Stenosis of Coronary Artery 冠状动脉狭窄预测分类器的比较
Hataichanok Aakkara, Atumporn Aaisueb, Aeerapong Aeelanupab
Myocardial Ischemia is the main cause of mortality in patients with Coronary Artery Disease (CAD). One of the methods used in screening patients with this disease is the diag-nosis of radionuclide myocardial perfusion imaging (rMPI). In this paper, we conducted a comparative study by experimenting on several machine learning models, such as Logistic Regression, Random Forest, XGBoost, etc., to classify the stenosis of coronary artery. High-level features from rMPI computed by 4D-MSPECT polar map were used to train/test the models. rMPI features of the risk group of CAD patients were obtained from a public hospital. With the hypothesis that patient characteristics (e.g., Diabetes Mellitus, Hypertension, Dyslipidemia) could improve the prediction performance of the models, this study also included patient characteristics in our experimentation as important parts of feature selection. All other processes (i.e., data cleaning, feature selection, feature engineering and feature transformation) in machine learning pipeline were also deliberately experimented in this study. For model selection, two-level validation regarding generalization and hyperparameter tuning were also performed.
心肌缺血是冠心病(CAD)患者死亡的主要原因。放射性核素心肌灌注显像(rMPI)是筛查本病患者的方法之一。在本文中,我们通过实验几种机器学习模型,如Logistic Regression、Random Forest、XGBoost等,对冠状动脉狭窄进行分类,进行了对比研究。利用4D-MSPECT极坐标图计算的rMPI高级特征对模型进行训练/测试。CAD危险组rMPI特征从某公立医院获得。假设患者特征(如糖尿病、高血压、血脂异常)可以提高模型的预测性能,本研究也将患者特征作为特征选择的重要部分纳入实验。机器学习管道中的所有其他过程(即数据清洗、特征选择、特征工程和特征转换)也在本研究中进行了刻意的实验。对于模型选择,还进行了关于泛化和超参数调整的两级验证。
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引用次数: 0
A Wideband Circularly Polarized Stacked Patch Antenna With Truncated Corners Ground Plane for Universal UHF RFID Reader 一种用于UHF RFID读写器的宽带圆极化截角叠加贴片天线
Sathaporn Konjunthes, W. Thaiwirot, P. Akkaraekthalin
This paper presents a wideband circularly polarized stacked patch antenna with truncated corners ground plane for universal UHF RFID reader. The configuration of the antenna composes of a slanted elliptical patch, corner truncated patch, a horizontally meandered strip (HMS), and corner truncated ground plane. One end of the HMS is connected to an SMA connector, while the other end is connected to the radiating patch via probe. In order to improve the bandwidth, the parasitic patch is used by placing above the radiating patch. From the simulated results, the proposed antenna has an impedance bandwidth of about 18.6% (800 – 965 MHz), a 3-dB axial ratio (AR) bandwidth of around 18.3% (816 – 981 MHz), and maximum gain of 8.4 dBi. The proposed antenna can operate in the frequency range of 840 – 960 MHz. Therefore, it is suitable for applying in universal UHF RFID reader.
提出了一种适用于UHF RFID读写器的宽带圆极化截角接平面叠置贴片天线。天线的结构由倾斜椭圆贴片、角截断贴片、水平弯曲条(HMS)和角截断接平面组成。HMS的一端连接到SMA连接器,另一端通过探头连接到辐射贴片。为了提高带宽,将寄生贴片置于辐射贴片之上。仿真结果表明,该天线阻抗带宽约为18.6% (800 ~ 965 MHz), 3db轴比(AR)带宽约为18.3% (816 ~ 981 MHz),最大增益为8.4 dBi。该天线可在840 - 960mhz的频率范围内工作。因此,它适合应用于通用的超高频RFID读写器。
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引用次数: 0
Time-Domain GPR Signal Prediction by Using Time-Domain UTD Method 基于时域UTD方法的时域探地雷达信号预测
K. Phaebua, A. Boonpoonga, S. Burintramart
This paper proposes a study of a time-domain ground penetrating radar (GPR) signal by using the time- domain uniform geometrical theory of diffraction (UTD) method. The monostatic GPR system is employed in this study. Rays tracing method is employed to find the reflected ray and diffracted ray paths between the transmitting antenna (Tx) and the receiving antenna (Rx). Moreover, the conventional UTD method is adapted to calculate the frequency-domain transfer function of the electric field between Tx antenna and the Rx antenna. The medium including air, ground and underground objects are taken into account. Finally, the received time-domain GPR signal is obtained by using the inverse fast Fourier transform (iFFT) method. The calculated results found that the time-domain GPR signal can be calculated by using the time-domain UTD method. The ground reflection, object reflection and object diffraction time-domain signal can be separately calculated. The reflected signal from the ground and an underground curved object can be illustrated.
本文利用时域均匀几何衍射理论(UTD)方法对探地雷达(GPR)时域信号进行了研究。本研究采用单站探地雷达系统。采用射线追踪法,求出发射天线(Tx)与接收天线(Rx)之间的反射射线和衍射射线路径。此外,采用传统的UTD方法计算了Tx天线与Rx天线之间电场的频域传递函数。介质包括空气、地面和地下物体。最后,利用快速傅里叶反变换(iFFT)方法得到接收到的时域GPR信号。计算结果表明,利用时域UTD方法可以计算时域探地雷达信号。地面反射、物体反射和物体衍射时域信号可以分别计算。反射信号从地面和地下弯曲物体可以说明。
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引用次数: 0
Floating Impedance Simulator Realization 浮动阻抗模拟器的实现
Nutcha Likhitkitwoerakul, Natchanai Roongmuanpha, W. Tangsrirat
This paper presents the floating impedance function simulator using flipped voltage follower-based differential voltage to current converter (DVTC) along with three passive elements. With the proper selection of the three passive components, the floating inductor, capacitor and frequency- dependent negative resistor (FDNR) can be realized. The realized equivalent impedance value of the proposed simulator can be controlled conveniently by changing the passive element values. A second-order bandstop filter and third-order lowpass filter are designed using the proposed simulators as application examples. To verify the workability of the proposed circuit, simulation results are confirmed through PSPICE program using 0.25-μm CMOS process parameters from TSMC (Taiwan Semiconductor Manufacturing Company).
本文提出了一种基于翻转电压跟随器的差分电压电流变换器(DVTC)和三个无源元件的浮动阻抗函数模拟器。通过对三种无源器件的合理选择,可以实现浮动电感、电容和频率相关负电阻(FDNR)。通过改变无源元件的值,可以方便地控制模拟器实现的等效阻抗值。以该仿真器为应用实例,设计了二阶带阻滤波器和三阶低通滤波器。为了验证所提出电路的可操作性,采用TSMC(台湾半导体制造公司)0.25-μm CMOS工艺参数,通过PSPICE程序验证了仿真结果。
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引用次数: 1
Hybrid Time Synchronization for ZigBee Networks: An Empirical Approach ZigBee网络混合时间同步:一种经验方法
Yuzana Hlaing, Nyein Aye Maung Maung
Time-based wireless indoor localization recently stands as the state-of-the-art situation for the up-to-date real time application areas. Synchronizing time among the wireless nodes may still be the major challenging problem for time- based indoor localization on wireless networks. The main reason of this problem is the difficulty and complexity of using standard time synchronization protocols such as Network Time Protocol (NTP), and Coordinated Universal Time (UTC) on wireless networks. Besides, the limitations of the wireless networks restrict the consideration of which time synchronization protocols should be applied on which wireless communication technologies such as WiFi, LiFi, Bluetooth, UWB, Ultrasonic, ZigBee, etc, for wireless time synchronization. Generally, time synchronization schemes support better accuracy if and only if precise random delay model can be implemented for the estimation of random delay caused by the real environmental impacts. In this paper, a ZigBee-based hybrid wireless time synchronization approach, which is required as the first and vital step for time-based wireless indoor localization, is proposed. In order to provide precise synchronization accuracy of the proposed hybrid approach to be more precise, appropriate random delay model is implemented by applying the empirical approach on ZigBee- based test-bed. By using the empirical data obtained from anchor-to-anchor packet communications, random delay is estimated using Gaussian random delay model and then least square regression model is applied to improve synchronization accuracy. In accordance with the experimental evaluation results, it highlights that synchronization performance of the proposed approach is significantly improved.
基于时间的室内无线定位是当前实时应用领域的最新发展方向。无线节点间的时间同步仍然是无线网络中基于时间的室内定位的主要挑战。造成这一问题的主要原因是在无线网络上使用网络时间协议(NTP)和协调世界时(UTC)等标准时间同步协议的难度和复杂性。此外,无线网络的局限性也限制了采用何种时间同步协议来进行无线时间同步的考虑,如WiFi、LiFi、蓝牙、UWB、Ultrasonic、ZigBee等无线通信技术。一般来说,时间同步方案只有当且仅当能够实现精确的随机延迟模型来估计实际环境影响引起的随机延迟时,才能支持较好的精度。本文提出了一种基于zigbee的混合无线时间同步方法,这是基于时间的室内无线定位的第一步,也是至关重要的一步。为了提供精确的同步精度,将经验方法应用于基于ZigBee的试验台,实现了适当的随机延迟模型。利用从锚点到锚点分组通信中获得的经验数据,利用高斯随机延迟模型估计随机延迟,然后利用最小二乘回归模型提高同步精度。实验评估结果表明,该方法的同步性能得到了显著提高。
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引用次数: 1
Improvement of Motor Imagery BCI using Silent Speech 无声言语对运动意象脑机接口的改善
Sansit Ngamrassameewong, Vichaya Manatchinapisit, Y. Wongsawat
Human expression are exhibited throughout by language, which is generally used for communications. Making use of this fact, combining the language expression silently with the imagination of movement may lead to the improvement on developing the brain-computer interface (BCI) system. This paper focuses on the silent speech related to upper limbs movement. In the experiment, five subjects performed silent speech, i.e. at the same time, imagined upper limbs movement follow by two words, which are "RIGHT" or "LEFT". Furthermore, each of the participants performed another experiment doing only motor imagery (MI). In both experiments, there are five trials for each movement side. 19-channel EEG was recorded. The EEG signals were simply analyzed by using the absolute power. The result shows the clearer activation of event-related desynchronization (ERD) of the alpha band (8-12 Hz) on the motor area (C3, C4) during the combination of silent speech and MI.
人类的表达是通过语言表现出来的,语言通常用于交流。利用这一事实,将无声的语言表达与动作的想象相结合,可以提高脑机接口(BCI)系统的开发水平。本文主要研究与上肢运动相关的无声言语。在实验中,五名被试进行无声说话,即同时想象上肢的运动,然后想象两个单词,分别是“右”或“左”。此外,每个参与者都做了另一个只做运动想象(MI)的实验。在这两个实验中,每个运动侧都有5次试验。记录19路脑电图。采用绝对功率法对脑电信号进行简单分析。结果表明,沉默言语与MI组合时,运动区(C3、C4) α带(8 ~ 12 Hz)的事件相关去同步(ERD)激活更为明显。
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引用次数: 0
Novel Battery Charging Method using Hydrogen and Oxygen Gas Release Condition for Lead Acid Battery 基于氢氧气体释放条件的铅酸电池充电新方法
Nirutti Nilkeaw, Chairat Sornchai, Boonyang Plungklang
This paper presents the study of lead acid battery for charging process using Hydrogen (H) and Oxygen (O2) gas release condition. The battery of 12V/100 Ah is selected to study from the purposed. The battery charging methodology is combined from the basically charging with constant current, constant voltage and gas analysis method for finding fully charging condition. The measurement data from the charging process show gas leases with relate the H and O2 gas varies from the battery voltage. The O2 and H gas release can be defined into 2 sections. The second section the O2 gas release has high changed in more than H gas release that point the H gas will be linearized trend. Theses point of the second section can define the fully charging process of the LA battery with 15.5 V of battery voltage. Therefore, this method can be defined as maximum voltage for charging the LA battery and adapted in the future.
本文介绍了利用氢气(H)和氧气(O2)气体释放条件对铅酸蓄电池充电过程进行研究。从用途上选择12V/100 Ah的蓄电池进行研究。电池充电方法从基本充电与恒流、恒压和气体分析相结合,寻找完全充电状态。充电过程的测量数据表明,氢气和氧气气体随电池电压的变化而变化。O2和H气体的释放可以定义为两个部分。第二段O2气体释放量发生了较大的变化,大于H气体释放量,此时H气体将呈线性化趋势。第二节的这些点可以定义在15.5 V电池电压下,LA电池的完全充电过程。因此,该方法可以定义为为LA电池充电的最大电压,并在未来进行调整。
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引用次数: 0
Discover Underlying Topics in Thai News Articles: A Comparative Study of Probabilistic and Matrix Factorization Approaches 发现泰国新闻文章的潜在主题:概率和矩阵分解方法的比较研究
Pimpitcha Pitichotchokphokhin, Piyawat Chuangkrud, Kongkan Kalakan, B. Suntisrivaraporn, Teerapong Leelanupab, Nont Kanungsukkasem
Topic modeling is an unsupervised learning approach, which can automatically discover the hidden thematic structure in text documents. For text mining, topic modeling is a language-independent technique that disregards grammar and word order. Apart from semantic and structural issues, Thai language is typically considered more complex than others. Due to the lack of word delimiter and a surfeit of composite words. Errors from word tokenization can create significant problems for any post processes of text, such as document retrieval, sentiment analysis, machine translation, etc., adversely decreasing the performance of text applications. Despite a strong correlation between word ordering and semantic meaning, topic modeling has been widely reported that it can extract latent information, aka. latent topic or latent semantic, encoded in documents. Although there were few previous research works on studying topic modeling in Thai language, they mostly focused on upstream processes of Natural Language Processing (NLP) in, for example, applying a refined stop-word list to, or adding N-gram on a single specific topic modeling method. To our knowledge, this paper is the first to explore different topic modeling approaches, i.e., Latent Dirichlet Allocation (LDA) and Nonnegative Metrix Factorization (NMF), in Thai Language to compare their coherence. We also employ and compare a set of state-of-the-art evaluation metrics based on Topic Coherence.
主题建模是一种无监督学习方法,可以自动发现文本文档中隐藏的主题结构。对于文本挖掘,主题建模是一种不考虑语法和词序的独立于语言的技术。除了语义和结构问题,泰语通常被认为比其他语言更复杂。由于缺乏词分隔符和过量的复合词。单词标记化产生的错误会给文本的任何后处理(如文档检索、情感分析、机器翻译等)带来严重的问题,从而降低文本应用程序的性能。尽管词序和语义之间有很强的相关性,主题建模已经被广泛报道,它可以提取潜在的信息,即。在文档中编码的潜在主题或潜在语义。虽然之前对泰语主题建模的研究较少,但大多集中在自然语言处理(Natural language Processing, NLP)的上游过程,如将一个精炼的停止词列表应用于,或在单个特定主题建模方法上添加N-gram。据我们所知,本文首次探讨了不同的主题建模方法,即潜伏狄利克雷分配(LDA)和非负矩阵分解(NMF),并比较了它们在泰语中的一致性。我们还采用并比较了一套基于主题一致性的最先进的评估指标。
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引用次数: 0
Portfolio Management in Different Market Trends for Thai Mutual Funds 泰国共同基金在不同市场趋势下的投资组合管理
Siriphen Pungetmongkol, E. Nantajeewarawat, Pattravadee Ploykitikoon, Paramet Tanwanont
The paper aims to investigate portfolio performance of a rebalanced portfolio and a buy-and-hold portfolio for five different market trends, i.e., up, down, sideway up, sideway down, and sideway market trends. Three asset classes, i.e., equity, bond, and gold, are considered. The portfolio initial weights for assets are determined by using the Markowitz method. Geometric Brownian motion is used for simulating future prices of each asset. Linear regression is performed to classify the simulated prices into different market trends. The rebalancing technique is applied to each trend. The risk and return performance of a rebalanced portfolio and those of a buy-and-hold portfolio are compared for each market trend.
本文旨在研究再平衡投资组合和买入持有投资组合在五种不同市场趋势下的投资组合表现,即上涨、下跌、横盘上涨、横盘下跌和横盘市场趋势。考虑了三种资产类别,即股票、债券和黄金。利用马科维茨方法确定资产组合的初始权重。几何布朗运动用于模拟每种资产的未来价格。通过线性回归将模拟价格划分为不同的市场趋势。再平衡技术应用于每个趋势。在每个市场趋势下,对再平衡投资组合和买入并持有投资组合的风险和回报表现进行比较。
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引用次数: 2
期刊
2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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