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Facial expression recognition using two-tier classification and its application to smart home automation system 基于双层分类的面部表情识别及其在智能家居自动化系统中的应用
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389223
Sunder Ali Khowaja, K. Dahri, Muhammad Aslam Kumbhar, Altaf Mazhar Soomro
With the convergence of smart technologies and advancement in electronic equipment the concept of smart home system swiftly escalates. The idea is to automate the home appliances according to the user requirements without human intervention. After a long tiring day and heavy workloads user will not be in a state of taking out its mobile phone and pressing the buttons for controlling home appliances. Several methods have been proposed in the design of such systems using sensors, biometrics and face detection. This paper proposes a method for detecting human emotions by taking into account the complete facial analysis, suggesting that the emotions can accurately be determined by analyzing eyes, nose and lips separately hence covering a wide range of emotions. The classification is carried out by acquiring the image of user followed by the face detection and segmenting the region of interests (ROI) i.e. eyes, nose and lips for further analysis of emotions. Principle Component Analysis (PCA) along with feature extraction techniques and Support Vector Machines (SVMs) are used for classification of emotion for the said automation system. Policies have been implemented in Java to simulate the home automation environment for testing and validation. At the instant this system has been tested on a single user with 4 basic emotions i.e. sad, anger, happiness and neutral, but this study can be a basis to develop an automated system with variety of emotions for multiple users.
随着智能技术的融合和电子设备的进步,智能家居系统的概念迅速升级。这个想法是根据用户的需求自动化家用电器,而不需要人工干预。在漫长的一天和繁重的工作后,用户不会处于掏出手机按下按钮控制家电的状态。在这种系统的设计中,已经提出了几种使用传感器、生物识别和人脸检测的方法。本文提出了一种考虑完整面部分析的人类情绪检测方法,通过分别分析眼睛、鼻子和嘴唇可以准确地确定情绪,从而涵盖了广泛的情绪。首先获取用户的图像,然后进行人脸检测,分割出感兴趣的区域(ROI),即眼睛、鼻子和嘴唇,进一步分析用户的情绪。主成分分析(PCA)、特征提取技术和支持向量机(svm)被用于上述自动化系统的情感分类。在Java中实现了一些策略来模拟家庭自动化环境,以便进行测试和验证。目前,该系统已在单个用户上进行了4种基本情绪的测试,即悲伤,愤怒,快乐和中性,但这项研究可以作为开发多个用户具有多种情绪的自动化系统的基础。
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引用次数: 17
Spectrum analysis of physiological signals of human activities 人类活动生理信号的频谱分析
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389197
S. A. Kazmi, Sheroz Khan, Othman Omran Khalifa, M. Shah
This paper investigates the impact of physiological maneuvers on the frequency component of photoplethysmograpy signal. Here, we have taken four different physiological states of sitting, standing, jogging and laying. Two groups of 5 to 10 healthy volunteers males and females are formed. The PPG signal acquisition is performed by Easy Pulse analyzer sensor module. Each sample for each state was taken for one-minute duration at stopwatch keeping the consolidated state of volunteer prior to fetching of PPG signal. The Easy pulse analyzer module implicates the pulse oximetry working principle and get the signal from the finger tip of subjects, which determines the oxygen saturation in blood and passes the signal by the optical sensor via a sequential high and low pass op-amp filters and ultimately produces the conditioned PPG signal. The interfacing between the easy pulse analyzer and computing machine was done with the help of Arduino processing board. The Kubios HRV software was utilized in order to execute and manipulate PPG data (numerical values) samples in required format. The report sheet was generated which pertains the frequency and time domain paradigms and was analyzed for respective PPG signal according to the physiological conditions. The results for each data set among four physical states define the co-relation between the physical state and corresponding PPG signal. Moreover, the variation in frequency components is observed during the change in physiological condition.
本文研究了生理运动对光容积脉搏波信号频率分量的影响。在这里,我们采用了四种不同的生理状态:坐着、站着、慢跑和躺着。组成两组,每组5至10名男性和女性健康志愿者。PPG信号采集由Easy Pulse分析仪传感器模块完成。在获取PPG信号前,以秒表的方式采集每个状态的样本一分钟。Easy脉搏分析仪模块根据脉搏血氧仪的工作原理,从被测者的指尖获取信号,测定血液中的氧饱和度,并将信号由光学传感器通过顺序高通和低通运放滤波器传递,最终产生条件PPG信号。利用Arduino处理板实现了简易脉冲分析仪与计算机之间的接口。利用Kubios HRV软件以所需格式执行和操作PPG数据(数值)样本。生成属于频域范式和时域范式的报告表,并根据生理条件对各自的PPG信号进行分析。四种物理状态中每个数据集的结果定义了物理状态与相应PPG信号之间的相关关系。此外,在生理状态的变化过程中观察到频率成分的变化。
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引用次数: 1
Fault tolerant speed regulation of Induction Motor using Artifical Neural Network 基于人工神经网络的异步电动机容错调速
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389221
K. Zeb, Farhana, C. A. Mehmood, B. Khan, S. M. Ali, Ayesha, A. Jadoon, W. Uddin
This paper successfully develops and investigates the implementation of Artificial Neural Network (ANN) based robust speed control strategy for Indirect Vector Control (IVC) three phase Induction Motor (IM) drive. The IM is modeled in terms of dq in synchronously rotating reference frame for IVC in Matlab/Simulink. The main purpose of the proposed design is to accomplish robustness for load disturbances, speed variation, parameter uncertainties, and electrical faults. The performance of aforesaid control technique is compared with that of conventional tuned PI control scheme. Simulation results of the ANN guarantee effectiveness and robustness regarding overshoot, undershoot, rise time, fall time and chattering for different operating condition in comparison to traditional PI control scheme.
本文成功地开发并研究了基于人工神经网络(ANN)的间接矢量控制(IVC)三相异步电动机(IM)驱动鲁棒速度控制策略的实现。在Matlab/Simulink中,用同步旋转参考系中的dq对IVC进行建模。该设计的主要目的是实现对负载干扰、速度变化、参数不确定性和电气故障的鲁棒性。将上述控制方法与传统的调谐PI控制方法进行了性能比较。仿真结果表明,与传统PI控制方案相比,该方法在不同工况下对超调量、欠调量、上升时间、下降时间和抖振都有较好的鲁棒性。
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引用次数: 3
Implementation of Content Centric Networks through Domain Name System 通过域名系统实现内容中心网络
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389212
Sarmad Ullah Khan, Rafiullah Khan, A. Ali
Content Centric Network (CCN) is a proposed future internet architecture that is based on the concept of contents name instead of the hosts name followed in the traditional internet architecture. CCN architecture might do changes in the existing internet architecture or might replace it completely. In this paper, we present modifications to the existing Domain Name System (DNS) based on the CCN architecture requirements without changing the existing routing architecture. Hence the proposed solution achieves the benefits of both CCN and existing network infrastructure (i.e. content based routing, independent of host location, caching and content delivery protocols).
内容中心网络(Content Centric Network, CCN)是一种基于内容名称的未来互联网架构,它取代了传统互联网架构中主机名称的概念。CCN架构可能会改变现有的互联网架构,或者完全取代它。在本文中,我们在不改变现有路由架构的情况下,根据CCN架构要求对现有域名系统(DNS)进行了修改。因此,建议的解决方案实现了CCN和现有网络基础设施(即基于内容的路由,独立于主机位置、缓存和内容交付协议)的优点。
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引用次数: 1
H2 and H∞ optimal control of coordinated fingers movement 手指协调运动的H2和H∞最优控制
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389196
Maryam Iqbal, A. Mahmood
In the rich repertoire of biomechanical systems bond graph is a proper choice for the modeling, analysis and simulation of biomechanical models. In this paper, we present the study of optimal robust control of a biomechanical model of reflexive movement of human ring finger when the little finger is bent. This is a 12th order model for movement simulation of two fingers. We developed H2/H∞ robust feedback controllers for the model in order to synthesize by combining a full information controller with an estimator to achieve stabilizing results. We later included parametric uncertainties of the model as modeling noise and exogenous inputs of the model. Furthermore, we tuned the controller performance to minimize the effects of the disturbances and the impact of the measurement noise and modeling errors. We simulated the model in MATLAB/Simulink for study of stability analysis and performance comparison. Our simulation results demonstrate the applicability of the model towards active prosthetic, and help to understand central nervous system in physiologically coordinated movement and constraint on motor functions.
在丰富的生物力学系统中,键合图是对生物力学模型进行建模、分析和仿真的合适选择。本文研究了小指弯曲时无名指反射运动的生物力学模型的最优鲁棒控制。这是模拟两根手指运动的12阶模型。我们针对该模型开发H2/H∞鲁棒反馈控制器,通过将全信息控制器与估计器相结合进行综合,以达到稳定的效果。我们随后将模型的参数不确定性纳入建模噪声和模型的外生输入。此外,我们调整了控制器的性能,以尽量减少干扰的影响以及测量噪声和建模误差的影响。在MATLAB/Simulink中对该模型进行仿真,进行稳定性分析和性能比较。我们的仿真结果证明了该模型对主动假肢的适用性,并有助于理解中枢神经系统在生理协调运动和运动功能约束方面的作用。
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引用次数: 7
Intelligent Feedback Linearization based adaptive control paradigm for damping power system oscillations 基于智能反馈线性化的自适应控制模式阻尼电力系统振荡
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389180
Saghir Ahmad, L. Khan
This research work proposes an adaptive feedback linearization control strategy for nonlinear identification and control of power system oscillations through HVDC link. The supplementary control scheme is based on real-time optimized NeuroFuzzy identification of power system dynamics. A self-tuned Feedback Linearization Control (FBLC) is employed to derive appropriate control law to modulate the real power flow through HVDC link and improve the damping assistance provided by HVDC system during perturbed operating conditions. Validation of the performance of control scheme is carried out through different contingency conditions of two-area test power system. The performance of the proposed control system is bench-marked against the conventional control scheme. The simulation results obtained from the proposed control strategy exhibit significant stability improvement of power system in transient and steady-state conditions.
本文提出了一种自适应反馈线性化控制策略,用于高压直流链路的电力系统振荡非线性辨识与控制。补充控制方案基于实时优化的电力系统动态神经模糊辨识。采用自调谐反馈线性化控制(FBLC),推导出合适的控制律,对直流电网实际潮流进行调制,提高直流系统在扰动工况下的阻尼辅助能力。通过两区试验电力系统的不同应急工况,对控制方案的性能进行了验证。该控制系统的性能与传统控制方案进行了基准测试。仿真结果表明,该控制策略在暂态和稳态条件下均能显著提高电力系统的稳定性。
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引用次数: 0
Analyzing the relationship between route stability and calculation methods of routing metrics 分析了路由稳定性与路由度量的计算方法之间的关系
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389225
J. Muhammad, S. Mahmud
A Mobile Ad-hoc Network (MANET) is a non centralized and self configuring network of nodes with a facility of immediate deployment in any part of the world. In these kind of networks, nodes are connected through wireless links with an auxiliary topology and without any pre-existing infrastructure. However due to mobility of nodes and un-centralized control, routes in MANET are unstable in nature. For which range of different routing protocols (AODV, DSR, DSDV, etc) and different routing schemes have been proposed, the major focus of which have been laid in changing routing metric and saving power sources. We changed the route cost calculation method in AODV routing protocol and analyzed it in different routing scenarios through changing number of nodes as well as nodes mobility. Through evaluation of performance comparison it is observed that effectively of a certain routing technique depends on location of nodes as well as their modes whether they are static or mobile.
移动自组织网络(MANET)是一种非集中式、自配置的节点网络,具有在世界任何地方立即部署的能力。在这类网络中,节点通过带有辅助拓扑的无线链路连接,没有任何预先存在的基础设施。然而,由于节点的可移动性和非集中控制,在MANET中路由本质上是不稳定的。为此,提出了一系列不同的路由协议(AODV、DSR、DSDV等)和不同的路由方案,重点是改变路由度量和节省电源。我们改变了AODV路由协议中的路由开销计算方法,并通过改变节点数量和节点移动性对不同路由场景下的路由开销进行了分析。通过对性能比较的评价,发现某一路由技术的有效性取决于节点的位置及其模式,无论节点是静态的还是移动的。
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引用次数: 0
Modelling the energy efficiency of Heterogeneous Cloud Radio Access Networks 异构云无线接入网络的能量效率建模
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389165
R. Alhumaima, M. Khan, H. Al-Raweshidy
Cellular network performance is measured by its spectral and energy efficiency, with power consumption an important key to success for the upcoming heterogeneous (HetNet) communication system generations. The proposed models presented in this paper, component, linear, and parameterized power models, analyse and evaluate the power consumption participants in both Cloud Radio Access Network (C-RAN) and the State of the art (SotA) Base stations i.e.(Macro, Pico, Femto) when all participants interface in the area of interest, collectively called Heterogeneous-Cloud Radio Access Network (H-CRAN), in a proposal to enhance both energy and spectral efficiencies. Results showed that a C-RAN network reduced the cooling power consumption to about 87%, which reduced the overall power consumption compared to MBS deployment. Finally, H-CRAN cooling and total power consumption is evaluated by integrating C-RAN and the SotA BSs power consumption models.
蜂窝网络的性能是通过其频谱和能量效率来衡量的,功耗是即将到来的异构(HetNet)通信系统成功的重要关键。本文提出的组件、线性和参数化功率模型,分析和评估了云无线接入网(C-RAN)和最先进的(SotA)基站(Macro、Pico、Femto)中所有参与者在感兴趣的区域(统称为异构云无线接入网(H-CRAN))接口时的功耗参与者,以提高能量和频谱效率。结果表明,与MBS部署相比,C-RAN网络将冷却功耗降低了约87%,降低了总体功耗。最后,通过集成C-RAN和SotA BSs功耗模型,对H-CRAN的散热和总功耗进行了评估。
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引用次数: 7
Managing traffic-light-duration by exploiting smart antenna technology (MATSAT) for coordinated multiple-intersections (CMI) 利用智能天线技术(MATSAT)管理协调多路口(CMI)的红绿灯持续时间
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389226
A. Joyo, Kaziq Yaqub, N. Madamopoulos
Traffic light control and coordination is a critical function in today's busy roadways. Typical traffic lights have been shifting from fixed timing to ones that are based on a variety of sensors. Several shortcomings have been identified when considering these different approaches. In this paper, we propose smart dynamic traffic lights that can adapt their signaling times (e.g., changes from green to red and vice versa) according to the traffic density, exploiting Direction of Arrival and Timing Advance information transmitted from cell-phones, carried by the car drivers, to smart antennas installed on cellular base stations. The simulation analysis shows that the proposed system has the potential to reduce the queuing delay by 92%. Consequently, such an approach would reduce fuel consumption and pollution by 92% by avoiding queue on traffic signal lights.
在当今繁忙的道路上,交通信号灯的控制和协调是一项至关重要的功能。典型的交通信号灯已经从固定计时转变为基于各种传感器的信号灯。在考虑这些不同的方法时,已经发现了一些缺点。在本文中,我们提出了智能动态交通灯,它可以根据交通密度调整其信号时间(例如,从绿色变为红色,反之亦然),利用汽车驾驶员携带的手机传输的到达方向和时间提前信息,安装在蜂窝基站上的智能天线。仿真分析表明,该系统具有将排队延迟降低92%的潜力。因此,这种方法可以通过避免在交通信号灯前排队来减少92%的燃料消耗和污染。
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引用次数: 2
Social interest-based routing in Delay tolerant networks 延迟容忍网络中基于社会兴趣的路由
Pub Date : 2015-12-01 DOI: 10.1109/ICET.2015.7389215
F. Naeem, S. Mahmud, M. H. Zafar
Internet is one of the basic requirements of the current age. Rural areas, particularly in the developing countries, do not have access to internet. Infrastructure based communication is very expensive, which makes it infeasible for the inhabitants of the backward areas. The presence of sparse nodes in the rural areas compared with urban areas decreases the chances of interaction among nodes. This can result in communication delay. In this paper, we propose a social interest based routing scheme that incorporates user interest into working movement model for delivery of data. Leveraging the diversity of interest in bus movement and placing the Throw box in the evening activity places in the working movement model, the proposed scheme achieves higher delivery probability. The simulation results show the effectiveness of the proposed scheme since delivery probability as high as 0.81 is attained. Furthermore, average cost and average latency is also improved.
互联网是当今时代的基本要求之一。农村地区,特别是发展中国家的农村地区,无法接入互联网。基于基础设施的通信非常昂贵,这使得它对落后地区的居民来说是不可行的。与城市地区相比,农村地区节点稀疏,减少了节点之间相互作用的机会。这可能导致通信延迟。在本文中,我们提出了一种基于社会兴趣的路由方案,该方案将用户兴趣纳入数据传递的工作运动模型中。利用公共汽车运动兴趣的多样性,并在工作运动模型中将投掷箱放置在晚上的活动场所,提出的方案实现了更高的交付概率。仿真结果表明了该方案的有效性,投送概率高达0.81。此外,平均开销和平均延迟也得到了提高。
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引用次数: 4
期刊
2015 International Conference on Emerging Technologies (ICET)
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