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2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)最新文献

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Analyze the network layer protocols on the basis of mobility, pause time and simulation time in MANET 从移动网络的移动性、暂停时间和仿真时间三个方面分析了网络层协议
Monalisa Mishra, P. Dash, Lopamudra Hota, M. Panda
A Mobile Ad Hoc Networks (MANET) is a collection of mobile nodes that can communicate with each other using wireless links without utilizing any fixed based station infrastructure and centralized management. In the present advanced technology there are many developments in Mobile Ad-hoc Networks (MANET) protocols. There are different Quality-of-Service (QoS) parameters analyzed the performance of MANET. Here we discuss the performance and comparison of different routing protocols such as AODV, DSDV, AOMDV and DSR over responsive flow (TCP) and unresponsive flow (UDP). To analyze the performance of routing protocols in MANET based on the basis of different simulation parameters like throughput, packet drop, end to end delay, residual energy and packet delivery ratio (PDR). The comparison has been done for increasing number of nodes having a fixed terrain area. All Simulations are done using network simulator (NS-2).
移动自组织网络(MANET)是移动节点的集合,这些移动节点可以使用无线链路相互通信,而无需使用任何固定的基站基础设施和集中管理。在当前的先进技术中,移动自组网(MANET)协议有了许多发展。采用不同的服务质量(QoS)参数对MANET的性能进行了分析。在这里,我们讨论了不同路由协议的性能和比较,如AODV, DSDV, AOMDV和DSR在响应流(TCP)和无响应流(UDP)上。基于吞吐量、丢包、端到端延迟、剩余能量和包投递比(PDR)等不同仿真参数,分析了MANET中路由协议的性能。对于增加具有固定地形区域的节点数量进行了比较。所有的模拟都是使用网络模拟器(NS-2)完成的。
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引用次数: 4
Data optimization with differential evolution strategies: A survey of the state-of-the-art 差分进化策略下的数据优化:最新研究综述
Tarik Eltaeib, J. Dichter
In the optimization filed, there are various proposed algorithms and Differential Evolution (DE) is one of the most effective ones. Among the latter, there is need for more effective and efficient techniques, and strategies. Although most of these algorithms have demonstrated very good performance, but they still suffer from slow convergence rate. This paper reviews the DE, all its strategies, techniques, and some important algorithms.
在优化领域,提出了各种各样的算法,差分进化(DE)是最有效的算法之一。在后者中,需要更有效和高效的技术和战略。虽然这些算法大多表现出了很好的性能,但它们仍然存在收敛速度慢的问题。本文综述了DE的所有策略、技术和一些重要算法。
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引用次数: 0
Comparative analysis of wireless sensor networks with wireless multimedia sensor networks 无线传感器网络与无线多媒体传感器网络的比较分析
A. Mateen, Maida Sehar, Khizar Abbas, Muhammad Azeem Akbar
Wireless sensor networks (WSNs) abiding a huge quantity of inexpensive, low consumption and intense sensor nodes and sole or additional decline or base stations. Those nodes are tiny in dimension and can carry out numerous significant affairs, as well as event sensing, in order processing, and data communication. Owed to different compensation such as simplicity of consumption, comprehensive transmission range, and identity association, WSNs have been interchanging the conventional networks. The promising and innovative network of wirelessly connected devices, which consist of video, audio streams, scalar sensor data and others, is Wireless Multimedia Sensor Network (WMSN). The multimedia data depends on superiority to overhaul (Qos) parameters, like await, channel utilization, network life time throughput and distortion etc is the main aim to optimized delivery of these networks. In multimedia network each packets are communicated with each other so not on time incoming packets and lots of packets are evenly. In WMSNs challenging task to guarantee resource constrained, high data rate, and soft delay limit beside with energy reduced. In this paper, we provide Survey on comparison of different protocol of Wireless sensor network and wirelesss multimedia sensor network like Greedy Perimeter Stateless Routing for Wireless Networks (GPSR), Real-time and Energy Aware Qos routing protocol (REAR), Temporary ordered routing Algorithm (TORA) and Dynamic source routing (DSR). This different protocols with WMSN are compared in requisites of throughput, end-to-end delay, network life time.
无线传感器网络(WSNs)需要大量廉价、低消耗、密集的传感器节点和唯一或额外的衰落或基站。这些节点在维度上很小,可以执行许多重要的事务,以及事件感知、订单处理和数据通信。由于使用简单、传输范围广、身份关联等不同的补偿,无线传感器网络正在取代传统网络。无线多媒体传感器网络(Wireless Multimedia sensor network, WMSN)是由视频、音频流、标量传感器数据等组成的无线连接设备网络。多媒体数据依赖于等待、信道利用率、网络寿命吞吐量和失真等Qos参数的优势,是优化网络传输的主要目标。在多媒体网络中,每个数据包都是相互通信的,因此不能按时接收数据包,而大量数据包是均匀分布的。在wmsn中,既要保证资源受限,又要保证高数据速率和软延迟限制,同时又要降低能耗。本文对无线传感器网络和无线多媒体传感器网络中的贪婪边界无状态路由协议(GPSR)、实时和能量感知Qos路由协议(REAR)、临时有序路由算法(TORA)和动态源路由(DSR)等协议进行了综述比较。在吞吐量、端到端延迟、网络生存时间等方面对不同的WMSN协议进行了比较。
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引用次数: 18
Self-learning of braille using haptic interface for children 基于触觉界面的儿童盲文自学
C. Srihari, S. Prashanthi, V. Sriranjani, S. SobithaAhila
We are all aware of the hardships faced by the not so fortunate people. With the largest population of blind people in our country, we have proposed a system that would be beneficial for the visually impaired kids which will open the doors for them to lead a life that is, if not normal, at least close to normal. We believe that learning starts at a very young age; hence we have targeted children between the ages 3 to 6 and inculcate the basic concepts of Braille in our native language Tamil, such that they flourish in the future. We have created a Haptic Interface with the help of Arduino board and made use of Laptops for Automatic speech recognition that helps them in active learning. We have also included learning in various difficulty levels such as Easy, Intermediate, and Hard which would pop up based on the reactions and the answers given by them.
我们都知道那些不那么幸运的人所面临的困难。我国有最多的盲人,我们提出了一个有利于视障儿童的制度,为他们打开一扇门,让他们过上正常的生活,如果不是正常的,至少是接近正常的生活。我们相信学习从很小的时候就开始了;因此,我们针对3至6岁的儿童,用我们的母语泰米尔语灌输盲文的基本概念,使他们在未来茁壮成长。我们在Arduino板的帮助下创建了一个触觉界面,并利用笔记本电脑进行自动语音识别,帮助他们主动学习。我们还包括了各种难度级别的学习,如简单、中级和困难,这些级别将根据他们的反应和给出的答案弹出。
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引用次数: 0
Raspberry Pi based biometric authentication vehicle door locking system 基于树莓派生物识别认证的汽车门锁系统
N. N. Nagamma, M. Lakshmaiah, T. Narmada
In biometric authentication based vehicle door locking system, the biometric authentication plays an important role to provide high security. Now a days security is very important in order to keep our data confidentially from unauthorized persons. The main aim of this paper is to protect the car from unauthorized people by using the unique id that is finger print authentication. At the place of car door locking system, the finger print scanner is placed to lock and unlock the doors in place of the conventional door locking system. Which gives more protection to the car owner. The other indication system is also developed by using GSM module to send the message to the car owner mobile. The entire system is controlled by the Raspberry pi 3 processor.
在基于生物特征认证的汽车门锁系统中,生物特征认证对提供高安全性起着重要作用。现在,为了保护我们的数据不被未经授权的人窃取,安全是非常重要的。本文的主要目的是通过使用指纹认证的唯一id来保护汽车免受未经授权的人的攻击。在汽车门锁系统的地方,放置指纹扫描仪来锁定和解锁车门,取代传统的门锁系统。这给车主提供了更多的保护。另外,还开发了利用GSM模块向车主手机发送信息的指示系统。整个系统由树莓派3处理器控制。
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引用次数: 8
Comparative analysis of multi carrier PWM eleven level inverter with two modulation waves 两种调制波的多载波PWM 11电平逆变器的比较分析
B. Bharathi, V. Rao
Multilevel Inverter is introduced to reduce the switching stress and to obtain the output voltage with multiple steps to achieve the lowest total harmonic distortion (THD) and improved fundamental VRMS. This paper presents comparison of various methods used for reduction of THD and for improving VRMS. An eleven inverter is triggered by using Bipolar Multicarrier Pulse Width Modulation method, sine and Trapezoidal Amalgamated Rectangular (TAR) references with triangular carriers. There are seven various types of triangular carriers. They are, Phase Disposition, Phase Opposition Disposition, Alternate Phase Opposition Disposition, Carrier Overlapping, Phase Shift and Variable Frequency methods. The Performances measure like, THD, VRMS are evaluated for various modulation indices. Simulation is carried out by using MATLAB/SIMUINK. It is observed that sine reference based PWM method provides lower THD, TAR reference based PWM method provides higher fundamental VRMS output voltage.
引入多电平逆变器,减小开关应力,实现多阶输出电压,实现最低的总谐波失真(THD)和改进的基频VRMS。本文对降低THD和提高VRMS的各种方法进行了比较。采用双极多载波脉宽调制方法,采用带三角形载波的正弦和梯形合并矩形(TAR)基准触发11逆变器。有七种不同类型的三角载体。它们是相位配置、相位反对配置、交替相位反对配置、载波重叠、相移和变频方法。性能测量,如THD, VRMS的各种调制指标进行评估。利用MATLAB/SIMUINK进行仿真。观察到基于正弦参考的PWM方法提供更低的THD,基于TAR参考的PWM方法提供更高的VRMS基频输出电压。
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引用次数: 1
Sentimental analysis on web mining using statistical measures 基于统计方法的网络挖掘情感分析
K. Sanjay, A. Danti
Opinion mining or sentimental analysis plays important role in the data mining process. In the proposed method, opinions are classified using various statistical measures to provide ratings to help the sentimental analysis of big data. Experimental results demonstrate the efficiency of the proposed method to help in analysis of quality of product, marketers evaluation of success of a new product launched, determine which versions of a product or service are popular and identify demographics like or dislike of product features, etc.
意见挖掘或情感分析在数据挖掘过程中起着重要的作用。在提出的方法中,使用各种统计措施对意见进行分类,以提供评级,以帮助大数据的情感分析。实验结果证明了所提出方法的有效性,有助于分析产品质量,营销人员对新产品推出的成功程度进行评估,确定产品或服务的哪个版本受欢迎,以及确定产品功能的人口统计喜欢或不喜欢等。
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引用次数: 1
Embedded based drowsiness detection using EEG signals 基于嵌入式睡意检测的脑电图信号
P. K. Stanley, T. Jaya Prahash, S. Sibin Lal, P. V. Daniel
This paper presentsa physical wireless Electroencephalogram (EEG) based EEG sensor system for detecting drowsiness. Drowsiness of the driver being one of the major reasons for road accidents a drowsiness detector can prevent the road accidents with ease. This EEG sensor system monitors the human cognitive state and provides a biofeedback to the driver while he is drowsy. This system detects the fluctuation in driver's performance with respect to their brain activity and modulates the EEG recording. The drawback of this system is its inability to detect the driver's eye closure, poor accuracy and it's insufficient reaction time to detect the drowsiness.
提出了一种基于物理无线脑电图的睡意检测系统。驾驶员的睡意是交通事故的主要原因之一,睡意检测器可以很容易地预防交通事故。这种脑电图传感器系统监测人类的认知状态,并在司机昏昏欲睡时向他提供生物反馈。该系统检测驾驶员的大脑活动表现的波动,并调节脑电图记录。该系统的缺点是无法检测驾驶员的闭眼状态,准确性较差,并且检测睡意的反应时间不足。
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引用次数: 7
Implementation of biogas powered fuel cell 沼气动力燃料电池的实现
R. S. Kumar, S. Joyal, M. kuzhali
Energy demand rises worldwide, due to the growth in global population, and the fast development of transportation. Historically, gasoline and diesel have been used as vehicle fuels for a long time. But the decline of oil supply and unstable oil price drive people to find alternative energy for vehicle fuel. Alternative energy solutions may shift energy consumption to less carbon, less pollution and provide more energy diversity. The waste which was produced from the agriculture is used to generate BIOGAS which is been used as a cooking gas. Biogas is a fuel which is produced from the breakdown of organic matter. It is estimated that the domestic biomass consumption or fuel consumption is as high as 94% with very little use of modern use of energy. The biogas has many application like corrosion preventive, cleaning up oil spills, producing hydrogen for fuel cell. Fuel cell is the advanced technology being the likely prospect in time to come. Fuel cells generate electricity by an electrochemical reaction in which oxygen and a hydrogen-rich fuel to combine water. This allows fuel cell to be highly energy efficient and even higher efficiency can be gained with cogeneration. A typical fuel cell produces voltage from 0.6–0.8 V at full rated load. Fuel cell can be developed for portable electronic devices.
由于全球人口的增长和交通运输的快速发展,世界范围内的能源需求上升。从历史上看,汽油和柴油作为汽车燃料已经使用了很长时间。但是石油供应的减少和油价的不稳定促使人们寻找替代能源作为汽车燃料。替代能源解决方案可以将能源消耗转向低碳、低污染,并提供更多的能源多样性。农业产生的废物被用来生产沼气,沼气被用作烹饪用的气体。沼气是一种由有机物分解产生的燃料。据估计,国内生物质消耗或燃料消耗高达94%,很少使用现代能源。沼气具有防腐、清理漏油、为燃料电池生产氢气等多种用途。燃料电池是一种先进的技术,是未来可能的前景。燃料电池通过电化学反应产生电能,其中氧气和富氢燃料与水结合。这使得燃料电池具有很高的能源效率,甚至可以通过热电联产获得更高的效率。典型的燃料电池在满载时产生的电压为0.6-0.8 V。燃料电池可用于便携式电子设备。
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引用次数: 0
Multi-object tracking using Kalman filter and particle filter 基于卡尔曼滤波和粒子滤波的多目标跟踪
Chetan M. Bukey, Shailesh.V. Kulkarni, Rohini Chavan
Tracking Object is essential step for image and video processing research area and in computer vision technology applications like object identification, traffic control, automated surveillance systems and navigation systems. Foreground image separated from background image by conventionally image processing techniques. Background subtractions utilizing Gaussian Mixture Model (GMM) is basically utilized as a part of extricating elements of moving items and takes information in frames. The outcome demonstrates that GMM performs well when obstructions are there. Multiple objects tracking have been done using two methods that is Kalman filter (KF) tracking and the Particle filter (PF) tracking. The KF evaluate present, previous, and even future condition of object. Also Kalman filter can estimate even when exact idea of the demonstrated framework is unknown. PF have been being exceptionally helpful in multiple objects tracking for non-Gaussian and nonlinear estimation problems. The algorithm applied effectively on standard video database of PETS.
跟踪目标是图像和视频处理研究领域以及物体识别、交通控制、自动监控系统和导航系统等计算机视觉技术应用的重要步骤。通过传统的图像处理技术将前景图像与背景图像分离。基于高斯混合模型(GMM)的背景减法基本上是作为提取运动物体元素的一部分,并在帧中获取信息。结果表明,GMM在障碍物存在时表现良好。多目标跟踪主要采用卡尔曼滤波(KF)和粒子滤波(PF)两种方法。KF评估对象现在、过去甚至未来的状态。此外,卡尔曼滤波可以在不知道所演示框架的确切思想时进行估计。在非高斯和非线性估计问题的多目标跟踪中,PF一直是非常有用的。该算法在pet标准视频数据库上得到了有效的应用。
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引用次数: 10
期刊
2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)
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