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2016 International Conference on Intelligent Systems Engineering (ICISE)最新文献

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Wirelessly Controlled Mines Detection Robot 无线控制地雷探测机器人
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475162
Waqar Farooq, N. Butt, Sameed Shukat, N. Baig, Sheikh Muhammad Ahmed
This paper demonstrates the problem and effects of landmines in defense fields. We are proposing a robot that has the aptitude to detect the buried mines and lets user control it wirelessly to avoid human causalities. The robot is equipped with special wheels controlled by H-Bridge module, allowing it to move in all possible directions. In this paper, we focus on the safety of humans and the robot; the robot is equipped with special range sensors that help in avoiding the obstacles in the field by specifically detecting the position of obstacles. For the fabrication of the project, a special type of prototype made of lightweight temperature resistant metal is used to carry all objects. A wireless camera is added to the robot, which captures and broadcasts the present location of the robot. Microcontroller commands the robot. This technique has the practical benefit of reducing the number of casualties, after the implementation of the technique, the robot can be controlled efficiently and it robustly determines the position of the obstacle.
论述了地雷在防御领域存在的问题及其影响。我们提出了一种机器人,它具有探测埋在地下的地雷的能力,并让用户通过无线方式控制它,以避免人类伤亡。该机器人配备了由H-Bridge模块控制的特殊轮子,可以向各个方向移动。在本文中,我们关注的是人类和机器人的安全;该机器人配备了特殊的距离传感器,通过专门检测障碍物的位置来帮助避开现场的障碍物。在这个项目的制造过程中,使用了一种由轻质耐温金属制成的特殊类型的原型来携带所有物体。在机器人上安装了一个无线摄像头,它可以捕捉并广播机器人的当前位置。微控制器控制机器人。该技术具有减少人员伤亡的实际效益,实现后的机器人可以有效地控制并鲁棒地确定障碍物的位置。
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引用次数: 13
Digital control of trolley position and payload vibrations of non-linear Quanser three degree of freedom crane 非线性四色三自由度起重机小车位置和载荷振动的数字控制
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475157
Muhammad Faisal, Mohsin Jamil, S. Soomro, Abubaker Riaz, M. Luqman
In these days, three degree of freedom (3DOF) cranes are considered as backbone in most of industries. It is mostly used for picking and placing of heavy objects from one place to another place. The common part in mostly cranes is jib system. Two main tasks of jib system are movement of the trolley and loading/unloading of the payload. The safety of crane mostly depends upon these sub tasks. In most cases, number of unwanted vibrations due to undesirable initial jerks of trolley results uneven operation of crane. These jerks are usually happened during acceleration in the start and deceleration in the end of crane operation. So, it is desirable to develop a control technique that tries to reduce theses initial trolley jerks by providing a reasonable input to the trolley. Moreover, reduction of jerks reduce the payload vibrations. So, it results smooth operation of crane. In this research work, we have implemented PD control technique for payload vibration and trolley position control of jib system of three 3DOF crane. The gains of PD controllers have been found through two methods namely LQR and pole placement. The performance of controllers have been investigated on Matlab/Simulink. The results shows the effectiveness of PD tune by LQR as compared to PD tune by pole placement in context of settling time and rise time of both trolley position and payload vibrations. The former technique is also helpful in reduction of payload vibrations or payload load anti-swing. It has also improved the overshoot of the trolley.
目前,三自由度起重机被认为是大多数行业的支柱。它主要用于将重物从一个地方搬运到另一个地方。大多数起重机的共同部件是吊臂系统。吊臂系统的两个主要任务是小车的移动和有效载荷的装卸。起重机的安全主要取决于这些子任务。在大多数情况下,由于小车的不期望的初始抖动而产生的不必要的振动数量导致起重机的不均匀运行。这种抽动通常发生在起重机启动时的加速和运行结束时的减速过程中。因此,需要开发一种控制技术,通过向小车提供合理的输入来减少这些初始的小车抖动。此外,减震减少了有效载荷的振动。从而保证了起重机的平稳运行。在本研究工作中,我们对三台三维立体起重机臂架系统的有效载荷振动和小车位置控制实现了PD控制技术。通过LQR和极点配置两种方法确定了PD控制器的增益。在Matlab/Simulink上对控制器的性能进行了研究。结果表明,在小车位置和载荷振动的沉降时间和上升时间两方面,LQR调优方法的有效性优于极点调优方法。前一种技术也有助于减少有效载荷振动或有效载荷抗摆。它还改善了电车的超调。
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引用次数: 0
Incorporating artificial intelligence in shopping assistance robot using Markov Decision Process 基于马尔可夫决策过程的人工智能购物辅助机器人
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475168
Rida Gillani, Ali Nasir
There are many challenges involved in the realization of a shopping assistance robot (SAR). The specific challenge addressed in this paper is that of incorporating artificial intelligence or decision making capability in such robot. Markov Decision Process (MDP) based formulation of the problem has been presented for this purpose. The major advantage of the MDP based approach over simple search based artificial intelligence techniques is that it can incorporate uncertainty. The proposed MDP model has been solved for optimal policy using value iteration algorithm. Furthermore, it has been shown how the reward function influences the structure of the resulting policy. The results show encouraging potential in the use of MDP based formulation for SAR.
购物辅助机器人(SAR)的实现涉及许多挑战。本文解决的具体挑战是将人工智能或决策能力纳入此类机器人。为此提出了基于马尔可夫决策过程(MDP)的问题表述。与简单的基于搜索的人工智能技术相比,基于MDP的方法的主要优点是它可以包含不确定性。采用数值迭代算法求解MDP模型的最优策略。此外,还展示了奖励函数如何影响最终策略的结构。结果表明,基于MDP的SAR制剂具有良好的应用前景。
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引用次数: 5
A study of touching behavior for authentication in touch screen smart devices 触摸屏智能设备中用于身份验证的触摸行为研究
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475123
Ala Abdulhakim Alariki, Azizah Bt Abdul Manaf, S. Khan
With the increased popularity of touch screen mobile phones, touch gesture behavior is becoming more and more important. Due to increasing demand for safer access in touch screen mobile phones, old strategies like pins, tokens, or passwords have failed to stay abreast of the challenges. However, we study user authentication scheme based on these touch dynamics features for accurate user authentication. We developed the software needed to collect readings from touch screen of mobile phone running the android operation system. Based on these preliminary experiments we concentrated on the Random Forest classifier to differentiate multiple users. Our results show that combining all features such as touch direction, finger pressure, finger size and acceleration correctly classified touch behavior on an android phone with 98.14% accuracy.
随着触摸屏手机的日益普及,触摸手势行为变得越来越重要。由于触摸屏手机对更安全访问的需求不断增加,诸如pin,令牌或密码等旧策略未能跟上挑战的步伐。然而,我们研究了基于这些触摸动态特征的用户认证方案,以实现准确的用户认证。我们开发了android操作系统手机触摸屏读数采集所需的软件。在这些初步实验的基础上,我们重点研究了随机森林分类器来区分多个用户。我们的研究结果表明,结合触摸方向、手指压力、手指大小和加速度等所有特征,对android手机上的触摸行为进行正确分类,准确率为98.14%。
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引用次数: 3
Effect of modulation index of pulse width modulation inverter on Total Harmonic Distortion for Sinusoidal 脉宽调制逆变器调制指标对正弦总谐波畸变的影响
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475119
E. Aboadla, Sheroz Khan, M. H. Habaebi, T. Gunawan, B. A. Hamidah, Mashkuri Bin Yaacob
Knowing Total Harmonic Distortion (THD) content of voltage source inverter (VSI) is important and must be within the allowable range. Several schemes are suggested to mitigate THD and to produce as much a sinusoidal output signal as would be possible. One of such schemes is using a Sinusoidal Pulse Width Modulation SPWM-based inverter. SPWM is usually used in inverters for industrial applications. In this paper, a study of the performance of the SPWM technique is presented for a single phase H-bridge inverter. The SPWM scheme is modeled in MATLAB - Simulink. A bipolar and unipolar PWM technique are compared in this project as such techniques offer the features of effectively doubling the switching frequency of the output voltage. Under different conditions of modulation index, the pattern is utilized to estimate the harmonics. Simulation results for a full bridge single phase inverter using bipolar and unipolar SPWM schemes are presented.
了解电压源逆变器(VSI)的总谐波失真(THD)含量很重要,必须在允许范围内。提出了几种方案来减轻THD并产生尽可能多的正弦输出信号。其中一种方案是使用基于spwm的正弦脉宽调制逆变器。SPWM通常用于工业应用的逆变器。本文研究了SPWM技术在单相h桥逆变器中的性能。SPWM方案在MATLAB - Simulink中建模。双极和单极PWM技术在本项目中进行了比较,因为这种技术提供了有效地将输出电压的开关频率加倍的特性。在不同的调制指数条件下,利用该模式估计谐波。给出了采用双极和单极SPWM方案的全桥单相逆变器的仿真结果。
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引用次数: 22
Adaptive soft computing algorithm for seated pregnant subject biodynamic vibrations damping control 坐位孕体生物动力振动阻尼控制的自适应软计算算法
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475115
Shah Riaz, L. Khan
In this paper, effect of the vertical vibrations on biodynamic model of a 55 kg pregnant woman seated at the driver place is carried out. Investigation is based on eleven degrees of freedom biodynamic pregnant woman model and eight degree of freedom full-car nonlinear active suspension model. In the exiting literature, more emphasis is devoted towards the effect of vibrations on nonpregnant subject while little work is done on the biodynamic response of pregnant seated woman exposed to vertical vibrations. The mass increase due to pregnancy is incorporated in the biodynamic mathematical model. The lumped-parameter biodynamic model is implemented for vibration damping and frequency control. An advanced adaptive NeuroFuzzy Takagi Sugeno Kang (NFTSK) control technique is developed for ride quality improvement of the seated pregnant woman driver and to reduce the risk of damages both to fetus and mother. Performance of the advanced adaptive control technique is validated against the random gaussian external road profile and results are compared with passive and PID control for further validation of the performance.
本文研究了垂直振动对驾驶员位置55公斤孕妇生物动力学模型的影响。研究基于11自由度孕妇生物动力学模型和8自由度全车非线性主动悬架模型。现有文献多侧重于研究振动对非孕妇的影响,而对垂直振动下坐着孕妇的生物动力学反应研究较少。由于怀孕导致的质量增加被纳入生物动力学数学模型。采用集总参数生物动力学模型进行减振和频率控制。为了提高孕妇坐式驾驶的乘坐质量,降低对胎儿和母亲的伤害风险,开发了一种先进的自适应神经模糊控制技术(NFTSK)。针对随机高斯外部道路轮廓验证了先进的自适应控制技术的性能,并将结果与被动控制和PID控制进行了比较,以进一步验证性能。
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引用次数: 0
Adaptive load balancing algorithm for wireless distributed computing networks 无线分布式计算网络的自适应负载均衡算法
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475130
M. Alfaqawi, M. H. Habaebi, M. Siddiqi, M. R. Islam, Sheroz Khan, Dinesh Datla
The concept of wireless distributed computing (WDC), proposed recently, is used to distribute and allocate computational tasks wirelessly. Despite various benefits of WDC, such as distributing the workload efficiently among cooperating nodes, WDC concept is facing enormous challenges. Proposing an efficient task allocation algorithm is one of the key challenges in WDC network. The work reported here proposes a novel task allocation algorithm called as adaptive load balancing (ALB). The ALB algorithm nominates the cooperating nodes in WDC network adaptively based on the channel conditions among the cooperating nodes. Then, it balances the workload amongst the cooperating nodes based on the available energy in each node. Herein, the validity of the proposed novel ALB algorithm is proved first. Then, ALB algorithm is applied to an application in cognitive radio network (CRN). Furthermore, the channel impact on the distributed tasks by ALB algorithm, in WDC-CRN, is investigated and benchmarked. Accordingly, the probability of detection results in case of applying the novel ALB algorithm is found to be enhanced.
无线分布式计算(WDC)的概念是最近提出的,用于无线分配和分配计算任务。尽管WDC具有各种优势,例如在协作节点之间有效地分配工作负载,但WDC概念面临着巨大的挑战。提出一种高效的任务分配算法是WDC网络的关键挑战之一。本文提出了一种新的任务分配算法,称为自适应负载平衡(ALB)。ALB算法根据合作节点间的信道条件自适应地指定WDC网络中的合作节点。然后,根据每个节点的可用能量在协作节点之间平衡工作负载。本文首先证明了该算法的有效性。然后,将ALB算法应用于认知无线网络(CRN)。此外,研究了WDC-CRN中ALB算法对分布式任务的信道影响,并对其进行了基准测试。结果表明,该算法提高了检测结果的概率。
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引用次数: 3
Poincare based PPG signal analysis for varying physiological states 基于庞加莱的不同生理状态PPG信号分析
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475170
S. A. Kazmi, M. Shah, Sheroz Khan, Othman Omran Khalifa, M. Muzammil
This paper investigates the similarity and dissimilarity of the Photoplethysmography (PPG) signals depending upon the physiological conditions in non-linear domain. Current paper also illustrates the variations in PPG signal for volunteers of age group among 20's (twenties). Easy Pulse analyzer Sensor module which operates on working principle of pulse oximetry which enables the photo sensing technique by detecting the infra-red light penetrating through the respective part of body in this case is index finger. Afterwards it has been processed via series of filter stages comprised of low and high pass filters, an undistorted and adequate PPG signal has attained at the output of easy pulse analyzer. The frequency, shape, and amplitude ingredients of the PPG signal dominantly rely upon the physiological states and age factor. Furthermore, the signal is then fed to Arduino processing board which forms the provision of interfacing among easy pulse electronic module and personal computer in order to have the Graphical User Interface (GUI). The outcomes are quite obvious and are indicative of the physical states in terms of short and long term variability.
本文在非线性域研究了生理条件对光体积脉搏波信号的相似性和差异性。本论文还阐述了20多岁年龄组志愿者的PPG信号的变化。Easy Pulse analyzer传感器模块,其工作原理是脉搏血氧仪,通过检测穿透身体相应部位的红外光来实现光敏技术,在这种情况下是食指。然后通过一系列由低通和高通滤波器组成的滤波器级进行处理,在easy脉冲分析仪的输出处获得了一个不失真且足够的PPG信号。PPG信号的频率、形状和幅度成分主要取决于生理状态和年龄因素。然后将信号馈送到Arduino处理板,Arduino处理板构成易脉冲电子模块与个人计算机之间的接口,从而具有图形用户界面(GUI)。结果是相当明显的,并表明在短期和长期变化方面的物理状态。
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引用次数: 1
Comparison of adaptive noise cancelers for ECG signals in wireless biotelemetry system 无线生物遥测系统中心电信号的自适应降噪比较
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475117
Aleem Khaliq, A. Waseem, M. F. Munir, R. Ahmad
In this paper, least mean square (LMS) adaptive filter and its several variants are used to remove the noise in degraded electrocardiographic (ECG) signals. One of the main interference sources in measurement of ECG signal includes 50 Hz power line that produces distortion in the original signal while measuring. Recently, adaptive filtering is supposed to be one of the most popular and effective methods for the analysis and processing of ECG signals. In this paper comparison has been made and suggests a suitable implementation of the noise canceller for the biotelemetry applications which require high signal to noise (SNR) ratios. These schemes generally involve simple procedures such as shift operations and simple addition and attain effective results as compared to other LMS based realizations.
本文采用最小均方自适应滤波及其几种变体来去除退化的心电信号中的噪声。50hz电源线是心电信号测量的主要干扰源之一,在测量过程中会对原始信号产生畸变。近年来,自适应滤波被认为是心电信号分析和处理中最常用、最有效的方法之一。本文通过比较,提出了一种适合于高信噪比生物遥测应用的降噪方案。与其他基于LMS的实现相比,这些方案通常涉及简单的过程,如移位操作和简单的加法,并获得有效的结果。
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引用次数: 4
Analysis of adaptive filter and ICA for noise cancellation from a video frame 自适应滤波和ICA对视频帧噪声消除的分析
Pub Date : 1900-01-01 DOI: 10.1109/INTELSE.2016.7475129
A. Rehman, Fahad Khan, Baber Khan Jadoon
Noise cancellation algorithms have been frequently applied in many fields including image/video processing. Adaptive noise cancellation algorithms exploit the correlation property of noise and remove the noise from the input signal more effectively than non-adaptive algorithms. In this paper different noise cancellation techniques are applied to de-noise a video frame. Three different variants of gradient based adaptive filtering algorithms and independent component analysis (ICA) procedure are implemented and compared on the basis of signal to noise ratio (SNR) and computational time. The common algorithms used in adaptive filters are least mean square (LMS), normalized least means square (NLMS), and recursive least mean square (RLS). The simulation results demonstrates that NLMS algorithm is computationally efficient but cannot handle impulsive noise whereas LMS and RLS can perform better for long duration noise signals. The comparative analysis of adaptive filtering algorithms and ICA shows that ICA can perform better then all three iterative gradient based algorithms because of its non-iterative nature. For testing and simulations, three variants of white Gaussian noise (WGN) are used to corrupt the video frame.
噪声消除算法在包括图像/视频处理在内的许多领域都有广泛的应用。自适应消噪算法利用噪声的相关特性,比非自适应算法更有效地去除输入信号中的噪声。本文采用不同的降噪技术对视频帧进行降噪。在信噪比和计算时间的基础上,对基于梯度的自适应滤波算法和独立分量分析(ICA)算法的三种不同变体进行了实现和比较。自适应滤波器常用的算法有最小均方(LMS)、归一化最小均方(NLMS)和递归最小均方(RLS)。仿真结果表明,NLMS算法计算效率高,但不能处理脉冲噪声,而LMS和RLS算法对长时间噪声信号的处理效果更好。对自适应滤波算法和ICA算法的比较分析表明,由于ICA算法具有非迭代的特性,其性能优于三种基于迭代梯度的算法。为了进行测试和仿真,使用了三种不同的高斯白噪声(WGN)来破坏视频帧。
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引用次数: 5
期刊
2016 International Conference on Intelligent Systems Engineering (ICISE)
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