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2018 IEEE Conference on Systems, Process and Control (ICSPC)最新文献

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Nonlinear Modelling for Steam Temperature of Distillation Column: A Comparison between PRBS and MPRS Perturbation Signals 精馏塔蒸汽温度的非线性建模:PRBS和MPRS扰动信号的比较
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704132
N. Hambali, M. Taib, A. Yassin, M. Rahiman
Nowadays, countless research efforts have been reported for distillation column on nonlinear modelling. Several studies have shown the importance of appropriate perturbation signal for the nonlinear system applications. This study focuses on a nonlinear modelling for steam temperature using Pseudo Random Binary Signal (PRBS) and Multi-level Pseudo Random Sequence (MPRS) perturbation signals. A Binary Particle Swarm Optimisation (BPSO) algorithm was utilised in the model structure selection for polynomial Nonlinear Auto-Regressive with eXogenous (NARX) input for Steam Distillation Pilot Plant (SDPP). Three model’s selection criteria were examined; Akaike Information Criterion (AIC), Model Descriptor Length (MDL), and Final Prediction Error (FPE). The performance analysis included output model analysis and model validation of the nonlinear model. The results demonstrated fewer number of input and output lags and lesser amount of output model parameter using MPRS perturbation signal compared with PRBS. Model validation showed high R-squared and low MSE for both signals’ application.
目前,关于精馏塔非线性建模的研究已见多不报。一些研究表明,适当的扰动信号对于非线性系统的应用具有重要意义。研究了基于伪随机二值信号(PRBS)和多级伪随机序列(MPRS)扰动信号的蒸汽温度非线性模型。针对蒸汽蒸馏中试装置(SDPP)的外源输入多项式非线性自回归模型,采用二元粒子群优化(BPSO)算法进行模型结构选择。考察了三种模型的选择标准;赤池信息准则(AIC)、模型描述符长度(MDL)和最终预测误差(FPE)。性能分析包括输出模型分析和非线性模型的模型验证。结果表明,与PRBS相比,MPRS摄动信号的输入和输出滞后数量更少,输出模型参数数量更少。模型验证表明,两种信号的应用均具有较高的r平方和较低的MSE。
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引用次数: 2
Evaluating Extrinsic Feedback of Martial Art Techniques Using Minimal Values of Rules in Frame-Based Rules Ranges 基于框架规则范围的最小规则值评估武术技术的外部反馈
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703983
W. Idris, A. Rafi, Azman Bidin
Martial arts (MAs) can be considered as a preserved heritage. The evaluations of MAs which are normally in form of extrinsic feedback (EF) such as existence of the technique patterns, speed of accomplishing the techniques and level of confidence however are still focusing on conventional method due to there is a few research on EF for MAs evaluation using advanced technologies. Even Frame-Based Rules Ranges (FBRR) approach using motion capture technology have been implemented to measure the sequence of steps in MA techniques, the remaining rules in the sequence are diverse which make it difficult to determine the existence of steps and to produce EF. Therefore, a standardised minimal value for each rule (MinRule) of FBRR has been proposed in this paper to become as a main reference for measuring the existence of steps in the sequence. TEN MA performers have been involved to test MinRule by executing FOUR selected techniques in SSCM. The MinRule for the FOUR techniques have been successfully produced, evaluated and compared. Using FBRR approach with the produced MinRule, its’ accuracy has achieved very high result, thus can be used to measure the sequence of steps as well as to produce EF for MA.
武术(MAs)可以被视为保存下来的遗产。技术模式的存在性、技术完成速度、置信度等外部反馈评价通常以外部反馈的形式进行,但由于利用先进技术对外部反馈进行评价的研究较少,因此仍然侧重于传统方法。即使采用基于帧的规则范围(FBRR)方法来测量动作捕捉技术中的步骤序列,但序列中剩余的规则是多种多样的,这给确定步骤的存在和产生EF带来了困难。因此,本文提出了FBRR的每条规则的标准化最小值(MinRule),作为衡量序列中步骤是否存在的主要参考。通过在SSCM中执行四种选定的技术,十位MA表演者参与了对MinRule的测试。四种技术的MinRule已被成功地制定、评估和比较。将FBRR方法与生成的MinRule结合使用,其精度达到了很高的结果,可以用于度量步骤的顺序,也可以用于生成MA的EF。
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引用次数: 1
The Effect of Foot Arch on Plantar Distribution During Running 跑步时足弓对足底分布的影响
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703977
N. K. Madzhi, A. A. Muhamad Mhd Nor
This paper presents the investigation on the types of foot arch affecting plantar pressure distribution during running. In this study, 20 participants of different arch types volunteered. The participants were required to run on the treadmill at three different speed with the FSR sensors placed under the sole of the shoes. Two sensors used, one at forefoot and one at rear foot. Only left foot was examined through this study. The data were analysed to compare the foot pressure of individuals during running and to analyze the effect of speed on the voltage measured with different arch types. The rear foot showed higher pressure value compared to the fore foot.
本文对跑步时影响足底压力分布的足弓类型进行了研究。在这项研究中,20名不同弓型的参与者自愿参加。参与者被要求在跑步机上以三种不同的速度跑步,并将FSR传感器放在鞋底下。使用了两个传感器,一个在前足,一个在后足。本研究只检查了左脚。对数据进行分析,比较个人在跑步过程中的足压力,分析速度对不同足弓类型测量电压的影响。后脚的压力值高于前脚。
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引用次数: 0
Mother Wavelet Selection for Control Valve Leakage Detection using Acoustic Emission 声发射控制阀泄漏检测的母小波选择
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703973
Juwita Mad Juhani, R. Ibrahim
This paper discusses the method used by the author to select suitable mother wavelet for analysis of acoustic emission (AE) signal. The AE signal were obtained from faulty control valve that experienced three stages of leakage; minor, critical and damaged. Analysis using Wavelet Packet Transform is expected to reveal AE characteristics at different leakages. The selection criteria for mother wavelet to be used in WPT is based on Energy to Shannon entropy ratio. Four mother wavelets were used for selection: Daubechies, Symlet, Biorthogonal and Coiflet. Mother wavelet with the highest Energy to Shannon entropy ratio is chosen for further analysis.
本文讨论了在声发射信号分析中选择合适的母小波的方法。故障控制阀的声发射信号经历了三级泄漏;轻微、严重和损坏。利用小波包变换分析可以揭示不同泄漏情况下的声发射特征。WPT中母小波的选择标准是基于能量与香农熵比。采用四种母小波进行选择:Daubechies、Symlet、Biorthogonal和Coiflet。选取能量与香农熵比最高的母小波进行进一步分析。
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引用次数: 3
A Weather Prediction and Earthquake Monitoring System 一个天气预报和地震监测系统
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704138
Renalyn C. Abayon, Joenilyn R. Apilado, Daryl B. Pacis, Marissa G. Chua, Arfel V. Aguilar, Jeffrey F. Calim, Sheenrod Meitzler A. Padilla, James Christopher S. Puño, Mary Regina B. Apsay, Ricky V. Bustamante
The researchers designed a fully working personal and portable Weather prediction and Earthquake Monitoring System with GSM Module that can send SMS Notification to the user and to the computer interface. The researchers developed the system by gathering a lot of information from various sources and by research. The researchers conducted tests with the field experts to check the reliability and the accuracy of the system. The researchers also conducted the integration and testing of the device to comply with all the requirements and passed with the standards. The implementation of the device was conducted in PHILVOLCS.The study aims to provide monitoring earthquake intensity and to have weather monitored every 6 hours daily and saves lives in case sudden event occurs. The device created will measure the atmospheric pressure, temperature, humidity and seismic activity to give alert messages on the registered user mobile.
研究人员设计了一个完全工作的个人和便携式天气预报和地震监测系统,该系统具有GSM模块,可以向用户和计算机界面发送短信通知。研究人员通过从各种来源收集大量信息并进行研究,开发了该系统。研究人员与现场专家进行了测试,以检查系统的可靠性和准确性。研究人员还对设备进行了集成和测试,符合所有要求,并通过了标准。该装置的实现在PHILVOLCS中进行。该研究旨在监测地震烈度,每天每6小时监测一次天气,并在突发事件发生时挽救生命。该设备将测量大气压力、温度、湿度和地震活动,并向注册用户的手机发出警报信息。
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引用次数: 2
Fuzzy K-Nearest Neighbour (FkNN) Based Early Stage Fire Source Classification in Building 基于模糊k近邻(FkNN)的建筑火源早期分类
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8703974
Allan Melvin Andrew, A. Y. Shakaff, Ammar Zakaria, R. Gunasagaran, E. Kanagaraj, S. M. Saad
Assessing the smell of burning is vital, as it can help to further detect and prevent early fire. In this paper, an early stage fire detection algorithm has been introduced using Fuzzy k- Nearest Neighbour (FkNN). The tests were made on normally available seven fire sources and three building structure resources. All the test samples were scorched in a vacuum oven at various temperature points, pushed out using vacuum pumps to be sniffed by the electronic nose. The experiments were done in a confined room with monitored temperature and humidity level. Time domain data were sampled. Prior to be given to the classifier, the smellprints were normalised and the features were extracted. Experimental classification results show that the integration of fuzzy logic into conventional kNN has enhanced the accuracy of the classifier and gave excellent consistency, nonetheless of humidity and temperature disparity, baseline sensor errors, the diverse emission concentration range and varied scorching temperature levels. The average classification precision for the classification system is 96.15%.
评估燃烧的气味是至关重要的,因为它可以帮助进一步发现和预防早期火灾。本文提出了一种基于模糊k近邻(FkNN)的火灾早期探测算法。对7个正常火源和3个建筑结构资源进行了试验。所有测试样品在不同温度点的真空烘箱中烘烤,用真空泵推出,由电子鼻嗅闻。实验是在一个密闭的房间里进行的,并监测温度和湿度水平。对时域数据进行采样。在给分类器之前,对气味指纹进行归一化并提取特征。实验结果表明,将模糊逻辑集成到传统的kNN中,可以提高分类器的准确率,并在湿度和温度差异、基线传感器误差、不同的排放浓度范围和不同的灼热温度水平方面具有良好的一致性。该分类系统的平均分类精度为96.15%。
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引用次数: 2
ICSPC 2018 TOC
Pub Date : 2018-12-01 DOI: 10.1109/spc.2018.8704156
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引用次数: 0
ICSPC 2018 Organizing Committee ICSPC 2018组委会
Pub Date : 2018-12-01 DOI: 10.1109/spc.2018.8704141
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引用次数: 0
ICSPC 2018 Reviewers
Pub Date : 2018-12-01 DOI: 10.1109/spc.2018.8704152
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引用次数: 0
Analysis of Tuberculosis Detection Techniques Using Chest X-Rays: A Review 胸部x线检查肺结核的技术分析综述
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704137
Z. Yousuf, U. Akram, A. Jameel, W. Raza
Tuberculosis is a communicable disease spread by a bacterium named as Mycobacterium tuberculosis. Its first and foremost target is to attack the human respiratory system and to disturb its normal functioning by affecting most specific part of the respiratory system i.e. lungs. It becomes difficult to breathe properly with the affected lungs and if not timely treated, the severity of the disease can increase and it can lead to death. According to the recent reports, millions of lives are compromised due to tuberculosis every year especially in the less developed areas of the world. Due to less medical awareness and facilities in such areas, the timely diagnostic and treatment of tuberculosis are also less likely. Developed countries have better medical awareness and facilities thus the prevalence of the disease is controlled by timely diagnosis and treatment. To improve the figures in countries having the highest tuberculosis reported cases and less medical facilities timely diagnosis is the key. Chest x-rays are found to be the most economical and widely used technique to detect the presence of tuberculosis even in areas with very few medical facilities. CAD-based tuberculosis diagnostic system using chest x-rays can really help in improving the number of timely diagnosed and treated patients every year. An overview of CAD-based tuberculosis diagnostic systems is presented in this research article.
结核病是一种由结核分枝杆菌传播的传染病。它的首要目标是攻击人类呼吸系统,并通过影响呼吸系统的大多数特定部分(即肺)来扰乱其正常功能。受影响的肺部很难正常呼吸,如果不及时治疗,疾病的严重程度可能会增加,甚至可能导致死亡。根据最近的报告,每年有数百万人的生命因结核病而受到损害,特别是在世界上较不发达地区。由于这些地区的医疗意识和设施较差,及时诊断和治疗结核病的可能性也较低。发达国家有更好的医疗意识和设施,因此通过及时诊断和治疗控制了疾病的流行。要改善结核病报告病例最多、医疗设施较少的国家的数字,关键是及时诊断。人们发现,即使在医疗设施很少的地区,胸部x光检查也是检测结核病最经济和最广泛使用的技术。基于cad的肺结核诊断系统使用胸部x射线确实有助于提高每年及时诊断和治疗的患者数量。本文概述了基于cad的结核病诊断系统。
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引用次数: 1
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2018 IEEE Conference on Systems, Process and Control (ICSPC)
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