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2013 IEEE International Conference on Control System, Computing and Engineering最新文献

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Digital aerial imagery of unmanned aerial vehicle for various applications 用于各种应用的无人驾驶飞行器的数字航空图像
Pub Date : 2013-12-01 DOI: 10.1109/ICCSCE.2013.6720023
A. Ahmad, K. N. Tahar, W. Udin, K. A. Hashim, N. Darwin, Mohd Hafis, M. Room, N. F. A. Hamid, N. A. M. Azhar, S. Azmi
Digital aerial imagery (DAI) can be acquired using digital mapping camera attached to light aircraft. The DAI is used for the production of topographic and thematic map. The cost of acquiring DAI is very expensive and suitable for large area coverage. The acquisition of DAI is not economical and suitable for small area coverage. Therefore an alternative method should be used to fulfill this need. There are two alternative methods that can be used for acquisition of DAI which include using a small format digital camera attached to light aircraft and using a small format attached to an unmanned aerial vehicle (UAV). UAV system has been reported used in various and diversified applications such as mapping applications (eg. map revision, landslide, coastal erosion, archaeology, forestry), industrial application (eg. engineering, crash accident), Geographic Information System (GIS) applications and others. In this study, micro unmanned aerial vehicle (UAV) systems which comprise of fixed wing UAV flying and rotary UAV are attached with small format high resolution digital camera to acquire DAI for the purpose of mapping at the flying height of 300m at 100m respectively. The micro UAVs were flown autonomously (i.e automatically) and a series of DAIs of a slope using fixed wing UAV and a stream using rotary UAV were acquired rapidly within short period. Ground control point (GCP) and check point (CP) were established using the Global Positioning System and conventional Total Station techniques around the study area for the slope and stream respectively for the purpose of digital image processing and accuracy assessment. The DAIs were processed to produce photogrammetric output such as digital elevation model (DEM) and orthophoto. All these photogrammetric products were successfully produced and assessed. The achievable accuracy is less than ±1m for slope mapping and ±0.280m for stream mapping. In this study, it is proven that the micro UAV system can be used for mapping which cover small area. As conclusion, micro UAV is suitable for mapping small area, rapid data acquisition, accurate, low cost and can be employed for various applications.
数字航空图像(DAI)可以通过安装在轻型飞机上的数字测绘相机获得。DAI用于制作地形图和专题地图。获取DAI的成本非常昂贵,适合大面积覆盖。DAI的采集不经济,适合小面积覆盖。因此,应该使用另一种方法来满足这一需求。有两种可用于获取DAI的替代方法,包括使用附在轻型飞机上的小型数码相机和使用附在无人驾驶飞行器(UAV)上的小型相机。UAV系统已经被报道用于各种和多样化的应用,例如地图应用(例如;地图修订、滑坡、海岸侵蚀、考古、林业)、工业应用(例如。工程,坠机事故),地理信息系统(GIS)应用等。在本研究中,由固定翼无人机飞行和旋转式无人机组成的微型无人机系统,分别在飞行高度300米和100米处,安装小幅面高分辨率数码相机,获取用于测绘的DAI。实现了微型无人机的自主(即自动)飞行,在短时间内快速获取了固定翼无人机的斜坡和旋转无人机的流的一系列dai。利用全球定位系统(gps)和常规全站仪技术,在研究区周围分别建立斜坡地面控制点(GCP)和河流地面检查点(CP),进行数字图像处理和精度评估。对这些dai进行处理,生成数字高程模型(DEM)和正射影像图等摄影测量输出。所有这些摄影测量产品都成功生产和评估。坡度制图可实现精度小于±1m,河流制图可实现精度小于±0.280m。在本研究中,证明了微型无人机系统可以用于小面积的测绘。综上所述,微型无人机适用于小面积测绘,数据采集快速,精度高,成本低,可用于各种应用。
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引用次数: 33
Performance study of preliminary mini anechoic chamber fitted with coconut shell coated absorbers 椰壳包覆吸波器微型消声室初步性能研究
Pub Date : 2013-12-01 DOI: 10.1109/ICCSCE.2013.6720036
H. A. Idris, J. M. Sharif, M. Taib, R. Ariffin, Nurul Iza Muhammad, R. Baharudin, A. Zanal, I. R. M. Noordin, Norhayati Mohamad Noor, A. Ahmad, S. A. Jalil, W. Ali
An anechoic chamber is considered good when there is no signal reflection inside the chamber and also when there is no incoming signal from outside the chamber. The key element inside an anechoic chamber is the absorbing material. The evaluations of mini anechoic chamber fitted with coated absorbers were carried out by analyzing the absorption performance. The study includes the comparison of measurement with and without coated absorbers. The evaluations were carried out using 500 MHz, 2 GHz and 10GHz frequencies. The most significant result shows an absorption level of up to approximately 75% when the chamber was fitted with coated absorbers for 10 GHz.
当消声室内部没有信号反射,也没有从外部进入的信号时,消声室被认为是好的。消声室的关键部件是吸收材料。通过对微型消声室吸声性能的分析,对安装有涂层吸声器的消声室进行了评价。本研究包括使用和不使用涂层吸收剂的测量比较。评估使用500兆赫、2兆赫和10兆赫频率进行。最显著的结果表明,当腔室安装10 GHz的涂层吸收器时,吸收水平可达约75%。
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引用次数: 4
Positioning control of a one mass rotary system using NCTF controller 基于NCTF控制器的单质量旋转系统定位控制
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6719994
Rozilawati Mohd Nor, S. Chong
In this paper a practical control scheme is discussed for the positioning and tracking control of a one mass rotary system. The practical controller designed must have high speed performance, high accuracy, robust to disturbance and parameter variation and have high positioning response which always welcome to industry. Hence, a Nominal Characteristic Trajectory Control (NCTF) controller has been proposed to yield high motion control performance and high robustness. This controller does not require exact model and parameter identification which make it easy to design. Basically, NCTF controller consists of a simple structure comprising Nominal Characteristic Trajectory (NCT) and Proportional Integral (PI) Compensator. Apart from a Conventional NCTF controller, the NCTF controller also improves to Continuous Motion NCTF (CM-NCTF) controller. CM-NCTF controller has same design procedure as Conventional NCTF controller and it is able to produce a slightly better performance than the conventional one by producing slightly faster response and smooth tracking performance. To evaluate the controller performance, the Conventional NCTF controller and CM-NCTF controller, was compared to PID control through experiment.
本文讨论了一种实用的单质量旋转系统定位跟踪控制方案。所设计的实用控制器必须具有高速性能、高精度、对干扰和参数变化的鲁棒性以及高的定位响应,这一直受到工业的欢迎。因此,提出了一种标称特征轨迹控制(NCTF)控制器,以获得高运动控制性能和高鲁棒性。该控制器不需要精确的模型和参数辨识,便于设计。基本上,NCTF控制器由标称特征轨迹(NCT)和比例积分(PI)补偿器组成的简单结构组成。除了传统的NCTF控制器外,NCTF控制器还改进为连续运动NCTF (CM-NCTF)控制器。CM-NCTF控制器具有与传统NCTF控制器相同的设计过程,并且能够产生略快的响应和平滑的跟踪性能,从而比传统NCTF控制器产生略好的性能。为了评价控制器的性能,通过实验将常规NCTF控制器和CM-NCTF控制器与PID控制进行了比较。
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引用次数: 6
FireDroid - An automated fire extinguishing robot FireDroid -自动灭火机器人
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6719989
Boo Siew Khoo, S. Chin, Leong Yee Soo, E. Chuah
The global warming effect has causes the earth atmosphere temperature increasing rapidly and leads to more natural and human made fire disaster. An automated fire extinguishing robot (FireDroid) which can detect flame and extinguish the flame is built. This fire extinguishing robot mostly place indoor such as houses, offices, and tall buildings. When fire occurs in the house, the fire extinguishing robot will be able to sense the flame and move to the fire location. After fire location is locked and flame distance is measured, water is being pumped out from the water tank and fire is extinguished completely.
全球变暖效应导致地球大气温度迅速升高,导致自然和人为火灾灾害增多。研制了一种能够探测火焰并扑灭火焰的自动灭火机器人(FireDroid)。这种灭火机器人主要用于室内,如房屋、办公室和高层建筑。当房屋发生火灾时,灭火机器人将能够感知火焰并移动到火灾地点。锁定火源位置,测量火焰距离后,将水从水箱中抽出,将火完全扑灭。
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引用次数: 9
A low-cost rotational infrared scanner for cylindrical object diameter measurement 一种用于圆柱形物体直径测量的低成本旋转红外扫描仪
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6720039
N. M. Thamrin, N. M. Arshad, R. Adnan, R. Sam, N. A. Razak, M. F. Misnan, S. F. Mahmud
This paper presents a new approach in determining the diameter of cylindrical object based on the available two triangles formation technique. The proposed hardware-software system is useful to be implemented on an unmanned aerial vehicle platform in the agriculture field for row detection and navigation techniques based on simultaneous localization and mapping technique as it offers a lightweight system, hassle-free computation and yet a practical and efficient approach. This approach is proposed purposely for small-scaled unmanned aerial vehicle where substantial devices or equipments is unwelcome due to its enormous weight and size. The most efficient way to detect and measure the diameter size of the trees in the agriculture field is by applying the precise laser range finder as well as combines it with other possible sensors such as vision sensors in many approaches before. Unfortunately, the available commercial product of a laser range finder is found to be expensive, bulky and all the data is acquired through a universal serial bus communication protocol which proves to be impractical for on-board UAV detection and navigation implementation as computer and robust processors is necessitated. Thus, in our innovative research, a non-intrusive infrared sensor is used as it offers a narrow beam for edge detection of the cylindrical object (treated as the tree). This sensor is mounted on a digital servo motor to imitate the rotational operation of the available laser range finder in the market. Series of experiments are executed on varying diameter of cylindrical objects, and the effectiveness and efficiency of this approach are carried out. It is found that, this technique is usable in determining the size of the cylindrical objects with a minimal and acceptable error as well as the outcome is comparable with other approaches.
本文提出了一种基于现有的两三角形形成技术确定圆柱形物体直径的新方法。该软硬件系统轻量级、计算方便、实用高效,可应用于农业领域的无人机平台,实现基于同步定位和绘图技术的行检测和导航技术。这种方法是专门针对小型无人机提出的,由于其巨大的重量和尺寸,大量的装置或设备不受欢迎。在农业领域中,最有效的检测和测量树木直径大小的方法是应用精确的激光测距仪,并将其与其他可能的传感器(如视觉传感器)相结合。遗憾的是,现有的商用激光测距仪价格昂贵,体积庞大,而且所有数据都是通过通用串行总线通信协议获取的,这对于机载无人机的探测和导航实现来说是不切实际的,因为需要计算机和强大的处理器。因此,在我们的创新研究中,我们使用了一种非侵入式红外传感器,因为它为圆柱形物体(作为树)的边缘检测提供了窄光束。该传感器安装在数字伺服电机上,以模仿市场上可用的激光测距仪的旋转操作。在变直径圆柱形物体上进行了一系列实验,验证了该方法的有效性和高效性。结果表明,该方法可用于确定圆柱形物体的尺寸,误差最小且可接受,并且结果与其他方法相当。
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引用次数: 2
A data preprocessing algorithm based on rough set for SVM classifier 基于粗糙集的SVM分类器数据预处理算法
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6720005
Zhiqi Huang, Jun Guo
Support vector machine (SVM) is now widely applied in various areas for its excellent performances. For a data set, usually we use normalization method to deal with the features. However, in many cases, the value of each feature is different. Thus, SVM can't work very well. In this paper, we propose a preprocessing algorithm based on rough set (RS) theory to give different weights on each feature, which can well reflect the value of each feature. The experimental results on real data show that the proposed approach can achieve a fairly improvement of classification accuracy.
支持向量机(SVM)以其优异的性能被广泛应用于各个领域。对于一个数据集,我们通常使用归一化方法来处理特征。然而,在许多情况下,每个特性的价值是不同的。因此,支持向量机不能很好地工作。本文提出了一种基于粗糙集(RS)理论的预处理算法,对每个特征赋予不同的权重,可以很好地反映每个特征的值。在真实数据上的实验结果表明,该方法能较好地提高分类精度。
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引用次数: 2
Card Emulator for Door Access Using Android Platform 基于Android平台的门禁卡仿真器
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6719997
Tee Yi Teck, P. Sebastian, V. Asirvadam
This paper describes the communication protocols and programming flow that have been implemented in the development of a Card Emulator for Door Access Using Android Platform'. The launching of Google Wallet in 2011 has triggered the idea of industry to fully exploit the advantage of Android platform in our daily life. Thus, the main idea of this project is to develop a hardware sleeve which eventually will be utilised to replace the conventional key in security access through certain door or building. The communication protocols involved in this project are Bluetooth Serial Port Profile (SPP), Universal Asynchronous Receiver / Transmitter (UART) and Near Field Communication (NFC).
本文介绍了基于Android平台的门禁卡仿真器的开发过程中所实现的通信协议和编程流程。2011年谷歌钱包的推出引发了业界的想法,即在我们的日常生活中充分利用Android平台的优势。因此,该项目的主要思想是开发一种硬件套筒,最终将用于取代传统的钥匙,通过某些门或建筑物进行安全访问。本项目涉及的通信协议有蓝牙串口配置文件(SPP)、通用异步接收/发送器(UART)和近场通信(NFC)。
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引用次数: 1
Segmentation of Arabic letters signal using Multiscale Principal Component analysis and Zero-Crossing Rate based on Malay speakers 基于马来语的阿拉伯字母信号的多尺度主成分分析和过零率分割
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6720013
A. Almisreb, A. F. Abidin, N. Tahir
In this paper, an investigation of segmentation method for Arabic letters signals spoken by Malay speakers, which is the main step for further speech processing for the purpose of identifying proper pronunciation is performed will be discussed. Recording any corpus requires suitable environment in order to reduce the noise but in our application mobility is the most vital point for speech recording. Hence, in this study, Multiscale Principal Component is applied to de-noise the signal as a pre-step before employing Zero-Crossing Rate function that will further be utilized to segment the actual voice signal. The outcome of the proposed method will be the first phase for Arabic Speech Recognition under noise environment and uncontrolled conditions.
在本文中,对马来语使用者所说的阿拉伯字母信号的分割方法进行了调查,这是进一步语音处理的主要步骤,目的是识别正确的发音。任何语料库的记录都需要合适的环境来降低噪声,但在我们的应用中,移动性是语音记录最重要的一点。因此,在本研究中,在使用过零率函数对实际语音信号进行分割之前,首先使用多尺度主成分对信号进行去噪,作为前置步骤。本文所提出的方法将是在噪声环境和非受控条件下进行阿拉伯语语音识别的第一阶段。
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引用次数: 3
Multiple Input Single Output (MISO) ARX and NARX model of flood prediction system: A comparative study 多输入单输出(MISO)洪水预报系统ARX与NARX模型的比较研究
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6719969
F. Ruslan, A. Samad, Z. Zain, R. Adnan
Flood is a most dangerous natural disaster that can cause enormous threat to human life and property. Thus, an accurate flood water level prediction is very prominent prior to develop a reliable flood water level prediction. Despite the widespread use of nonlinear model for flood water level prediction, linear model is still a new model among researchers around the world. Therefore, this paper present MISO linear system identification model namely Autoregressive Exogenous Input (ARX). The river branch treated in this study was Kelang river, located at Petaling bridge that originated from three upstream rivers which were Kelang river at Sulaiman bridge, Kelang river at Tun Perak bridge and Gombak river at Jalan Parlimen. The result obtained was not promising enough and there still rooms for improvement. This is due to the dynamics of flood water level itself is characterized as highly nonlinear. Thus, flood water level prediction using nonlinear model, Nonlinear Autoregressive Model with Exogenous Input (NARX) was proposed and results showed significant improvement.
洪水是一种最危险的自然灾害,对人类生命财产造成巨大威胁。因此,在进行可靠的洪水水位预测之前,准确的洪水水位预测是非常重要的。尽管非线性模型在洪水水位预测中得到了广泛的应用,但线性模型在世界范围内仍是一种新兴的模型。因此,本文提出了MISO线性系统辨识模型,即自回归外生输入(ARX)。本研究中处理的河流分支是位于八打岭大桥的巴生河,它起源于三条上游河流,分别是苏莱曼大桥的巴生河,屯霹雳大桥的巴生河和加兰议会门的贡巴克河。所得的结果不太令人满意,还有改进的余地。这是由于洪水水位本身的动力学特性是高度非线性的。在此基础上,提出了基于非线性模型的洪水水位预测方法——非线性自回归模型(NARX)。
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引用次数: 7
Online hybrid internet traffic classification algorithm based on signature statistical and port methods to identify internet applications 基于签名统计和端口方法的在线混合互联网流量分类算法对互联网应用进行识别
Pub Date : 2013-11-01 DOI: 10.1109/ICCSCE.2013.6719956
H. Ibrahim, S. Nor, Haitham A. Jamil
Internet traffic classification gained significant attention in the last few years. Most of the current classification methods were only valid for offline classification. Each of the three common classification methods (port, payload, statistics) has some limitations. To increase the value of Internet traffic classifiers, this paper combines the three methods to produce a new classification algorithm (SSPC). In the proposed algorithm, each traffic flow was classified in parallel three times by one of the three method classifiers. Based on certain priority rules, SSPC makes classification decisions for each traffic flow. The SSPC algorithm was tested by classifying WWW applications traffic in two stages: offline and online. The results of both cases show that SSPC is the higher accuracy when compared with other classifiers. In addition, the results indicate that the SSPC algorithm was suitable for online classification decisions, which is taken with the speed of the Inter-net traffic.
互联网流量分类在过去几年中受到了极大的关注。目前大多数分类方法仅适用于离线分类。三种常用的分类方法(港口、有效载荷、统计数据)都有一些局限性。为了提高互联网流量分类器的使用价值,本文将这三种方法结合在一起,提出了一种新的分类算法(SSPC)。在该算法中,每个交通流被三种分类器中的一种并行分类三次。基于一定的优先级规则,SSPC对每个流量进行分类决策。通过对离线和在线两个阶段的WWW应用流量进行分类,对SSPC算法进行了测试。两种情况的结果表明,与其他分类器相比,SSPC具有更高的准确率。此外,结果表明,SSPC算法适用于互联网流量速度下的在线分类决策。
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引用次数: 6
期刊
2013 IEEE International Conference on Control System, Computing and Engineering
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