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2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)最新文献

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Wearable Computing Device with Gestural Augmentation using LabVIEW 基于LabVIEW的可穿戴式手势增强计算设备
Eliyaz Mahammad, Madhu Nakirekanti, G. Bhaskar Phani Ram
Our motivation is from the analysis of Mr. Steve Mann on computational imaging and wearable computing, that brings out sixth sense technology. Wearable computing is the start of, developing, designing, or using very small wearables and sensor devices. This device lets us to move with the data by simple hand gestures. The recognition of gestures are the basic idea behind this device. The main aim of our project is to bring digital and natural worlds nearer, virtually together. Our project work uses a camera which captures the gestures, process it using RT processor (myRIO) by using LabVIEW software and makes the desired action to be done. The application of our device includesi. Gestural camera that permits us for taking images by framing the finger gestures.ii. The data can be copied from physical world, like a paragraph on a printed paper with hand gesture and paste them on a digital device, i.e., gesture based pick from a real paper and drop on a digital computer screen, rather than typing.iii. Replacement of Physical keyboard by printed paper.
我们的动机来自Steve Mann先生对计算成像和可穿戴计算的分析,这带来了第六感技术。可穿戴计算是开发、设计或使用非常小的可穿戴设备和传感器设备的开始。这个设备可以让我们通过简单的手势来移动数据。手势识别是这个设备背后的基本理念。我们项目的主要目标是将数字世界和自然世界拉近,虚拟地结合在一起。我们的项目工作使用相机捕捉手势,使用LabVIEW软件使用RT处理器(myRIO)进行处理,并做出所需的动作。本装置的应用包括:手势相机,允许我们通过框架的手指手势拍摄图像。数据可以从物理世界中复制出来,比如用手势在打印的纸上粘贴一段,然后粘贴到数字设备上,即基于手势从真实的纸上取下,然后放到数字计算机屏幕上,而不是打字。用印刷纸代替物理键盘。
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引用次数: 1
Performance of OSTBC5 through three different channels using zero forcing equalizer in MIMO system 在MIMO系统中使用零强迫均衡器的OSTBC5通过三个不同通道的性能
G. Kaur, Navjot Kaur, Lavish Kansal
OSTBC stands for orthogonal space time block coding. It gives more advantages then space time coding. OSTBC4 already use with limited number of receiving antenna but in this paper we use 5 receiving antennas to find the performance of the large MIMO. OSTBC perform function for more than 2 antennas. The OSTBC use linear STBC. All signals orthogonal to each other. The orthoganality empowers us to accomplish full transmit differing qualities according to furthermore; in the meantime, it permits a basic ML deciphering. Precoded OSTBC has a higher unraveling many-sided quality and a lower coding and other two codes, since in the precoded OSTBC the data images should be together planned and decoded. The OSTBC Encoder piece encodes the data images from the PSK Modulator by utilizing either the Alamouti code for two transmit reception apparatuses or other summed up complex orthogonal codes for three or four transmit radio wires. OSTBC perform the analysis between the BER vs SNR through three channels with zero forcing decoder. The OSTBC has best performance related to signal to noise ratio than STBC.
OSTBC代表正交空时块编码。它比空时编码具有更多的优点。OSTBC4已经使用了有限数量的接收天线,但在本文中,我们使用5个接收天线来寻找大型MIMO的性能。OSTBC可以支持2个以上的天线。OSTBC使用线性STBC。所有信号彼此正交。此外,正交性使我们能够根据不同的特性实现充分的传输;同时,它允许基本的ML解码。预编码的OSTBC具有较高的展开多面体质量和较低的编码和其他两种编码,因为在预编码的OSTBC中需要将数据图像一起规划和解码。OSTBC编码器片对来自PSK调制器的数据图像进行编码,利用用于两个发射接收设备的Alamouti码或用于三个或四个发射无线电线的其他综合复杂正交码。OSTBC通过三个信道进行误码率与信噪比的分析,并采用零强迫解码器。OSTBC在信噪比方面的性能优于STBC。
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引用次数: 2
STATIC OBSTACLE DETECTION FOR SECURITY IN SURVEILLANCE 用于安全监控的静态障碍物检测
G. Shanmugasundaram, Dr. C. PunithaDevi, S. Balaji, T. Mugilan
In recent times, we hear a lot of unexpected incidents happening in crowded places carried out by explosives hidden inside abandoned baggage or left behind items especially in India like country. Even though security cameras are placed, which monitors and raise alarms at the right time is still a manual activity that leads to mistakes and delayed detection. With the advancement in surveillance camera electronics and image processing algorithms such as Haar cascade classifier algorithm, Support Vector Machine (SVM), etc., and images can be detected using Deep learning object detection ,Feature- based object detection where it is possible to automate such detection. The objective of this article is to explore a various factors and its importance in object detection. Further it also explores about the existing techniques and models used in detection of objects. This article concludes with various challenges in object detection which are not yetaddressed.
最近,我们听到很多意外事件发生在拥挤的地方,特别是在印度这样的国家,爆炸物藏在被遗弃的行李或留下的物品中。即使安装了安全摄像头,在正确的时间进行监控并发出警报仍然是一项手动活动,这会导致错误和延迟检测。随着监控摄像机电子和图像处理算法(如Haar级联分类器算法,支持向量机(SVM)等)的进步,可以使用深度学习对象检测来检测图像,基于特征的对象检测可以自动进行此类检测。本文的目的是探讨各种因素及其在目标检测中的重要性。此外,它还探讨了现有的技术和模型用于检测的对象。本文总结了目标检测中尚未解决的各种挑战。
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引用次数: 0
ANN based Flux Estimator for Rotor Resistance Estimation in Vector Controlled IM Drives 基于人工神经网络的矢量控制IM驱动器转子电阻估计方法
A. Venkadesan, S. Himavathi, A. Muthuramalingam, K. Sedhuraman
In this paper, artificial neural network (ANN) is proposed to estimate d and q-axis rotor fluxes for rotor resistance estimation. Accurate value of rotor resistance is essential for good performance of vector controlled IM drive. The rotor resistance can be estimated from state synthesis equations. The state synthesis equations (SSE) demand the need of flux components. Conventional Voltage model (VM) used for flux computation fails due to low speed problems. Hence, ANN is proposed for flux computation. The proposed ANN based flux estimator is shown to perform well for various test conditions for rotor resistance estimation and overcome the low problems.
本文提出了利用人工神经网络估计d轴和q轴转子磁链的方法来估计转子电阻。准确的转子电阻值是保证矢量控制IM驱动器性能的关键。转子电阻可由状态综合方程估计。状态综合方程(SSE)需要磁通分量。传统的电压模型(VM)在计算磁链时由于速度过慢而失效。因此,提出了人工神经网络进行通量计算。所提出的基于人工神经网络的磁链估计器在各种测试条件下都能很好地估计转子电阻,并克服了低功耗问题。
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引用次数: 3
Heat Flux Enhancement in Microstructure System 微结构系统的热通量增强
Md. Sultan Mahmud, C. G. Jothi Prakash, Md. Wazedur Rahman, P. Ravindran
Pool boiling heat transfer mechanism is a general phenomenon for understanding the heat flux enhancement. In this case, micro/nano surface modification over the plain surface play vital role for enhancement of heat flux. Diversity of micro/nanostructures has been built on plain surfaces, which have guided to improvement in the heat transfer. Particularly, Development of nanowires, nanotubes and micro/nanoparticles deposition; regular micro/nano-geometries (pillars, fins, and microchannels) have already done. Modified surface affects the heat flux which can be classified into two groups: surface topography and the number density. Microstructure or nanostructure modified surface influences the surface wettability which has a significant role in enhancing heat transfer. In this work, the significance of surface modification with micro-structures in heat transfer enhancement has been studied. Two types of metal-metal oxides were selected such as Ti-TiO2 and Al-Al2O3 for designing geometry. Constant Heat Flux and HTC were applied and the change in surface temperature has been determined. Primarily, Ti metal plain surface showed 30.4 °C as well as Al metal plain surface showed 29.9 °C which is lower than Ti plain surface. Moreover, microstructure surface modification with varying height showed better result. Ti-TiO2 showed 28.9 °C as well as Al-Al2O3 showed 28.9 °C for 19 by 19 matrixes which is comparatively lower than plain metal surface. Hence, micro modified surface with increasing microstructure density as well the aspect ratio of those structures tends to alter the heat transfer behavior. Maximum heat flux observed 31 W/cm2 by Ti–TiO2 and Al -Al2O3 by 35 W/cm2. For both cases, enhancing surface area enhance the heat flux. On the other hand, increasing the wall superheat influence the heat flux enhancement.
池沸腾传热机理是理解热流增强的一般现象。在这种情况下,在平面表面进行微纳表面改性对增强热流密度起着至关重要的作用。在平面表面上建立了多样的微纳米结构,从而改善了传热性能。特别是纳米线、纳米管和微/纳米颗粒沉积的发展;常规的微/纳米几何形状(柱、鳍和微通道)已经完成。修正表面对热流密度的影响可分为表面形貌和数目密度两大类。微观结构或纳米结构修饰的表面影响表面润湿性,对强化传热有重要作用。本文研究了微结构表面改性在强化传热中的意义。选择Ti-TiO2和Al-Al2O3两种金属-金属氧化物进行几何设计。采用恒热流密度法和恒热流密度法测定了表面温度的变化。钛金属表面温度为30.4℃,铝金属表面温度为29.9℃,均低于钛金属表面。不同高度的微观结构表面改性效果更好。19 × 19基体的Ti-TiO2和Al-Al2O3的温度分别为28.9°C和28.9°C,比普通金属表面温度低。因此,随着微观结构密度的增加以及这些结构的长径比的增加,微改性表面倾向于改变传热行为。Ti-TiO2和Al -Al2O3的最大热流密度分别为31 W/cm2和35 W/cm2。在这两种情况下,增大表面面积会增大热流密度。另一方面,增大壁面过热度会影响热流密度的增强。
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引用次数: 0
Multiple Mobile Sink Architecture Based Energy Efficient Routing Protocol for Underwater Wireless Sensor Networks 基于多移动Sink架构的水下无线传感器网络节能路由协议
S. Anandalatchoumy, G. Sivaradje
For the energy resource constrained Underwater Wireless Sensor Networks (UWSNs), designing a routing protocol needs to consider an effective approach that is able to make an intelligent utilization of energy thereby prolonging network life time. For prolonged network life time, energy consumption as well as load balancing are important. Incorporation of sink mobility into sensor networks can deal with this issue for it not only preserves energy of the nodes but also balances the energy consumption among the nodes. In this paper, a novel protocol called multiple mobile sink architecture based energy efficient routing protocol (MSEERP) for UWSNs is proposed. Multiple mobile sinks are employed to collect the data directly from sensor nodes and address the problem of communication void as well. The effectiveness of the proposed technique is assessed by extensive simulations and the results obtained are compared with the existing routing protocol named GEDAR. It is inferred from the simulation results that it outperforms in terms of packet delivery ratio, energy consumption and network life time.
对于能量资源受限的水下无线传感器网络(UWSNs),路由协议的设计需要考虑一种能够智能利用能量从而延长网络寿命的有效方法。为了延长网络寿命,能耗和负载均衡都很重要。在传感器网络中引入sink mobility可以很好地解决这一问题,因为它既保留了节点的能量,又平衡了节点间的能量消耗。本文提出了一种基于多移动sink架构的uwsn节能路由协议(MSEERP)。采用多个移动sink直接从传感器节点采集数据,解决了通信空洞的问题。通过大量的仿真验证了该技术的有效性,并将仿真结果与现有的GEDAR路由协议进行了比较。仿真结果表明,该算法在数据包传输率、能耗和网络寿命等方面都具有较好的性能。
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引用次数: 1
Fuzzy Based Active Filter For Power Quality Mitigation 基于模糊的电能质量抑制有源滤波器
Khan Arshad Naushad Ahmed, K. C. Obula Reddy, P. Bhakre
Active filters are widely used in electrical distribution system for reactive power compensation and voltage / current harmonic elimination. In this paper, a fuzzy logic controlled, three-phase shunt active filter to improve power quality by compensating reactive power and current harmonics required by a nonlinear load is presented. PI regulator is replaced by fuzzy logic controller to improve the dynamic performance of shunt active filter under varying load conditions. The advantage of fuzzy control is that it is based on defined linguistic rules and does not require any mathematical model of the system unlike the other traditional controller. The compensation process is based on source current sensing only, an approach different from conventional methods. The performance of fuzzy logic controller is compared with PI controller under dynamic load conditions. Simulated studies show that fuzzy controller is found suitable for steady state and transient conditions of load.
有源滤波器广泛用于配电系统的无功补偿和电压电流谐波消除。本文提出了一种模糊逻辑控制的三相并联有源滤波器,通过补偿非线性负载所需的无功功率和电流谐波来改善电能质量。用模糊控制器代替PI调节器,提高了并联有源滤波器在变负载条件下的动态性能。模糊控制的优点是它基于定义的语言规则,不像其他传统控制器那样需要系统的任何数学模型。与传统的补偿方法不同,补偿过程仅基于源电流传感。比较了模糊控制器与PI控制器在动态负载条件下的性能。仿真研究表明,模糊控制器适用于负载的稳态和暂态工况。
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引用次数: 1
Design of High-Speed and Energy-Efficient Parallel Prefix Kogge Stone Adder 高速节能并行前缀Kogge石材加法器的设计
U. Penchalaiah, S. Vg
In the recent decades, the demand of mobile electronic devices is exponentially increased which creates a urge to design highly effective VLSI structures. The operations in the devices necessitate to be computed by low-power, area-efficient designs which operates at higher speed. Addition is the commonly used arithmetic operation; and adder is the basic arithmetic element of the processor. Presently, Carry Skip adder (CSKA) is found to be an effective adder which is compact and consumes less power. But, the lower speed of CSKA became a major drawback and it fails to employ in high-speed applications. To overcome the limitations of CSKA, a faster and efficient Parallel Prefix Adder (PPA) is introduced, which is developed from the carry look ahead adders. In this paper, we design and develop a new PPA architecture namely Kogge Stone adder (KSA) for 8, 16, 32 and 64-bit addition. The proposed method is implemented and the results are compared with CSKA interms of area, delay, speed and power consumption. Simulations results on Kogge Stone adders (KSA) reveal minimization of power consumption compared with the CSKA along with area compaction and high speed.
近几十年来,移动电子器件的需求呈指数级增长,这促使人们迫切需要设计高效的超大规模集成电路结构。设备中的操作需要通过低功耗、高效率的设计来计算,这种设计以更高的速度运行。加法是常用的算术运算;加法器是处理器的基本运算元件。进位跳频加法器(CSKA)是一种结构紧凑、功耗低的有效加法器。但是,CSKA较低的速度成为其主要缺点,无法应用于高速应用。为了克服CSKA的局限性,在进位前置加法器的基础上,提出了一种更快、更高效的并行前缀加法器(PPA)。在本文中,我们设计和开发了一种新的PPA架构,即Kogge Stone加法器(KSA),用于8位,16位,32位和64位的加法。并将所提出的方法与CSKA在面积、时延、速度和功耗等方面进行了比较。在Kogge石加法器(KSA)上的仿真结果表明,与CSKA相比,该方法具有面积压缩和速度快的优点,功耗最小。
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引用次数: 11
KFCM Algorithm for Effective Brain Stroke Detection through SVM Classifier 基于SVM分类器的脑卒中检测KFCM算法
V. Vijayalakshmi, Melingi Sunil Babu, R. Lakshmi
Ischemic stroke is stated as a loss of neurological brain function due to the sudden loss of blood circulation in the particular area of the brain. Analysis of ischemic strokes is further complicated by the fact that damage often crosses into multiple regions of the brain. MRI image analysis is done by the Neurologist to detect the lesion tissue in the brain image. The technique of manual labeling of ischemic stroke lesion turns out to be time-intensive making an automated method desirable. In the existing work, Segmentation of the Ischemic Stroke image was done by Otsu technique and integrated with SVM classifier. From the results it was inferred that the Accuracy of the technique is 88%, Specificity is of about 66%, and Sensitivity value is 94%.In order to obtain better accuracy in segmentation and for precise detection of the stroke, Kernelized fuzzy C-means clustering with adaptive threshold algorithm has been implemented. The algorithm identifies the distance and intensity of the lesion tissue. The accuracy and segmentation results of the Classifier is measured in the testing and training phase by comparing the similarity and diversity of sample sets by considering different sequences which are analyzed using MATLAB version 7.4.
缺血性中风被认为是由于大脑特定区域血液循环突然中断而导致的大脑神经功能丧失。缺血性中风的分析由于损伤常常跨越大脑的多个区域而变得更加复杂。核磁共振成像图像分析是由神经科医生完成的,以检测脑图像中的病变组织。人工标记缺血性脑卒中病变的技术是费时的,因此需要一种自动化的方法。在现有的工作中,缺血性脑卒中图像的分割采用Otsu技术,并与SVM分类器相结合。结果表明,该技术的准确度为88%,特异性约为66%,灵敏度为94%。为了获得更好的分割精度和精确的笔画检测,实现了带有自适应阈值的核模糊c均值聚类算法。该算法识别病变组织的距离和强度。在测试和训练阶段,通过比较样本集的相似性和多样性来衡量分类器的准确性和分割结果,考虑不同的序列,使用MATLAB 7.4版本进行分析。
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引用次数: 2
Enhanced Energy Efficient Routing Protocol (EEERP) for lifespan optimization in WSNs 用于无线传感器网络寿命优化的增强型能效路由协议(EEERP)
Nandini Reddy Vanteru, Chandana Bhavani Yerrabathini, Bksp Kumar Raju Alluri
Wireless Sensor networks are the low powered networks formed by sensor nodes that are used extensively in various fields. As a result, improving the network lifetime is the most important task to be accomplished. Since the sensor nodes are low battery powered, the conservative routing protocols cannot be applied. The recent studies have proved that clustering can remarkably reduce energy consumption thereby extending the lifetime of WSN. In this paper, we propose Enhanced Energy Efficient Routing Protocol (EEERP) for improving life of the network where clusters are formed during setup phase of the network. A sensor node remains in the same cluster throughout the lifespan of the network. The proposed protocol also shows a significant decrease in the energy dissipation and a noticeable throughput.
无线传感器网络是由传感器节点组成的低功耗网络,广泛应用于各个领域。因此,改善网络生存期是需要完成的最重要任务。由于传感器节点电池电量不足,保守路由协议不能应用。近年来的研究证明,聚类可以显著降低能耗,从而延长无线传感器网络的寿命。在本文中,我们提出了增强型节能路由协议(Enhanced Energy Efficient Routing Protocol, EEERP)来改善网络的寿命,其中集群是在网络建立阶段形成的。传感器节点在网络的整个生命周期中都保持在同一个集群中。该协议还显示出能量消耗的显著降低和显著的吞吐量。
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引用次数: 0
期刊
2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCA)
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