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2011 Fourth International Conference on Emerging Trends in Engineering & Technology最新文献

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Evaluation of Multipath, Unipath and Hybrid Routing Protocols for Vehicular Ad Hoc Networks 车载Ad Hoc网络中多路径、单路径和混合路由协议的评估
S. Dorle, Bhushan Vidhale, M. Chakole
Vehicular Adhoc Network (VANET) is a well known communication which includes communication between moving vehicles on the roads. VANET can be formed either using using existing infractructure or without preexisting infrastructure. With the VANET we can provide various kind of information to the vehicles for their safety and need. Routing protocols in VANET plays a very important role since many challenges like high speed, mobility, etc occurs within it. In this paper, an attempt is made to create realistic environment for the performance analysis of multipath, Unipath and hybrid routing protocol in city scenarios. The protocols evaluated are Ad hoc On demand Distance Vector (AODV), Ad-hoc On-demand Multipath Distance Vector Routing (AOMDV) and Destination Sequence Distance Vector (DSDV). All the three protocols are having their own specifications. In simulation, maps are used to model topology using traffic simulator and then vehicles with different parameter like length, maximum speed and acceleration etc. run on these topologies. The performance parameters evaluated in this paper are packet delivery ratio and end to end delay for the above said prototcols.
车辆自组织网络(VANET)是一种众所周知的通信方式,包括道路上移动车辆之间的通信。VANET既可以使用现有的基础设施,也可以不使用现有的基础设施。有了VANET,我们可以为车辆提供各种信息,以满足他们的安全和需要。路由协议在VANET中扮演着非常重要的角色,因为其中发生了许多挑战,如高速,移动性等。本文尝试为多径、单径和混合路由协议在城市场景下的性能分析创造一个真实的环境。评估的协议有自组织按需距离矢量(AODV)、自组织按需多路径距离矢量路由(AOMDV)和目的地序列距离矢量(DSDV)。这三种协议都有自己的规范。在仿真中,使用交通模拟器使用地图来建模拓扑结构,然后使用不同参数(如长度,最大速度和加速度等)在这些拓扑结构上运行车辆。本文评估的性能参数是上述协议的分组传送率和端到端延迟。
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引用次数: 19
Early Performance Analysis of Fully Pipelined JPEG Engine in the Simulation Environment 全流水线JPEG引擎在仿真环境中的早期性能分析
B. Rani, Harish Yagain, Srinivas Donapati
JPEG image compressions standard finds itself in most of the digital imaging or photography applications. With the technology moving towards high quality imaging and also the need for faster response times between multiple image compressions and decompressions, it poses the challenge on design of hardware compression and decompression engines. Performance of these hardware JPEG engines is of at most importance when they are used in either handheld devices like high end digital cameras or even in case of smart phones and tablets. In this paper we present the need for such analysis, the setup required for the same and real time scenarios which could affect the throughput of the JPEG engine. We also present our detailed real-time performance analysis of the JPEG engine in terms of throughput measurement, correlation to number of frames of image that can be processed per second and also the experimental results captured for various image formats like grayscale, RGB and YCbCr.
JPEG图像压缩标准在大多数数字成像或摄影应用中都有应用。随着技术向高质量成像的发展,以及多个图像压缩和解压缩之间需要更快的响应时间,这对硬件压缩和解压缩引擎的设计提出了挑战。当这些硬件JPEG引擎用于手持设备(如高端数码相机)或智能手机和平板电脑时,它们的性能是最重要的。在本文中,我们提出了这种分析的必要性,以及可能影响JPEG引擎吞吐量的相同和实时场景所需的设置。我们还详细介绍了JPEG引擎的实时性能分析,包括吞吐量测量、与每秒可以处理的图像帧数的相关性,以及各种图像格式(如灰度、RGB和YCbCr)的实验结果。
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引用次数: 0
Suggested Methodologies for Enhancing SAD 建议加强SAD的方法
Neha Sharma, Deepali Sawai
In recent years, there has been a surge of interest in object oriented analysis and design methodology. Considering the advantages and limitations of both the approaches of system analysis and design (SAD), this paper suggests few methodologies. The proposed approach helps to smoothen the up gradation of existing system that has been designed using structured approach to more flexible and reusable object oriented environment.
近年来,人们对面向对象分析和设计方法的兴趣激增。考虑到系统分析和设计(SAD)两种方法的优点和局限性,本文提出了几种方法。该方法有助于将采用结构化方法设计的现有系统平滑地升级到更加灵活和可重用的面向对象环境。
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引用次数: 0
A Human State Estimation Method Using Fuzzy Based System 基于模糊系统的人体状态估计方法
M. Nii, Kazuki Nakai, Yutaka Takahashi, K. Higuchi, K. Maenaka
When we use a MEMS based monitoring system for monitoring human behavior, several kinds of numerical data can be measured. In order to develop an intelligent monitoring system with small size, we need to minimize the power consumption. Therefore, we need to develop a simple intelligent system. We have proposed a behavior estimation method which consists of a fuzzy rule based system to estimate the subject $B!G (Bs behavior. In the proposed method, two steps of abstraction for numerical data extract some human behaviors from numerical data. The proposed method can estimate only human behavior such as $B!H (Bwalking $B!I (B or $B!H (Bsitting $B!I (B etc. In this paper, we propose an estimation method that can estimate both human state and behavior. Our proposed method can estimate human state using both heart rate from ECG and human behavior obtained from acceleration sensors. From the results of our proposed method, we show the effectiveness of our proposed method.
当我们使用基于MEMS的监测系统来监测人类行为时,可以测量几种数值数据。为了开发一个小体积的智能监控系统,我们需要将功耗降到最低。因此,我们需要开发一个简单的智能系统。我们提出了一种基于模糊规则系统的行为估计方法来估计主体$B!G (b)的行为。在该方法中,对数值数据进行两步抽象,从数值数据中提取人的某些行为。所提出的方法只能估计人类行为,如$B!H (B $B!)我(B或B) !H (B $B!)解析:选B。本文提出了一种既能估计人的状态又能估计人的行为的估计方法。我们提出的方法可以同时利用心电图的心率和加速度传感器获得的人体行为来估计人体状态。实验结果表明了该方法的有效性。
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引用次数: 14
A Design Approach for Driver's Vigilance and Monitoring System 一种驾驶员警戒监控系统的设计方法
Rushikesh T. Bankar, P. Bajaj, Rahul M. Deshpande
This paper presents a Real Time Monitoring System for Driver Vigilance. The main components of the system consist of a web cam for real - time image acquisition and an alarm system which characterize a Driver's level of vigilance. The three conditions in which the facial expressions of the driver taken are vehicle light, sunlight and noise. The effect of these three conditions is reflected in the behaviour of, for example eyes being open, close or blinking. When the lights of the other vehicles coming from the opposite direction falls on the face of driver then the colour of that part will get changed. The images are segmented into red, white, blue, and yellow colours using YCbCr colour space technique. The effect of noise that is the sound of the other vehicles creates some changes on the upper part of the face. It results in the appearance of the lines on the forehead. In this paper, we will develop a system which will monitor the facial expressions and alert the driver. In this paper, we concentrate only on the vehicle light effects.
本文介绍了一种驾驶员警惕性实时监控系统。该系统的主要组成部分包括一个用于实时图像采集的网络摄像头和一个显示驾驶员警戒水平的报警系统。拍摄司机面部表情的三个条件是车辆光线、阳光和噪音。这三种情况的影响反映在行为上,例如眼睛是睁开、闭上或眨眼。当其他车辆的灯光从相反的方向落在司机的脸上,那么这部分的颜色将被改变。使用YCbCr色彩空间技术将图像分割成红、白、蓝、黄四种颜色。噪音的影响,即其他车辆的声音,会在脸的上半部分产生一些变化。它会导致额头上出现皱纹。在本文中,我们将开发一个系统,可以监测面部表情,并提醒司机。在本文中,我们只关注车辆的灯光效果。
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引用次数: 0
Fuzzy Logy for Prediction of Velocity in Channel Bend 河道弯道速度预测的模糊方法
P. Durge, P. Nagarnaik
The flow in channel bend is spiral or helical. It is a movement of water particles in the flow direction. Many researchers have stated mathematical equations to predict velocity in the flow direction in the channel bend. These equations are based on simplified assumptions. The Artificial Neural Network is a viable alternative to predict longitudinal velocity in channel bend. It builds the model by estimating suitable approximating function of available input/output samples. Once such relationship is established, it can be used for prediction of the future behavior. The paper aims at developing ANN model namely Fuzzy logy. It is found that Fuzzy logy model is capable to predict velocity in the channel bend with reasonable accuracy.
通道弯道内的水流呈螺旋状或螺旋状。它是水粒子在流动方向上的运动。许多研究者已经建立了数学方程来预测河道弯道内水流方向的速度。这些方程式是以简化的假设为基础的。人工神经网络是预测河道弯曲纵向速度的一种可行的替代方法。它通过估计可用输入/输出样本的合适近似函数来建立模型。一旦建立了这种关系,就可以用来预测未来的行为。本文旨在发展人工神经网络模型,即模糊理论。结果表明,模糊数学模型能较好地预测河道弯道内的流速。
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引用次数: 0
Failure Analysis of Exhaust Manifold Stud of Mahindra Tractor Using Finite Element Analysis 马恒达拖拉机排气歧管螺柱失效有限元分析
Mahesh M. Sonekar, S. Jaju
Tractor as the most important agricultural machinery has main share in planting, retaining and harvesting operations and then in mechanization sector. Hence in order to reach sustainable agricultural machinery and also its quantity must be reached to optimum level. Very few cases of fracture failure analysis of agricultural vehicles have been reported till date. In the present study, failure of exhaust manifold stud of tractor, fatigue and longetivity of the manifold stud will be carried out in the FE code Analysis ANSYS. Therefore the simulation for cyclic stress/strain evolution and redistributions are critical for predicting fatigue/ fracture, improving the accuracy of fracture life prediction of mechanical components. For carrying out the fracture analysis it is necessary to determine the maximum load, and for calculating the maximum load various physical parameters would be taken in consideration: FE mesh of the component and Numerical analysis & Validation
拖拉机作为最重要的农业机械,在种植、保留和收获作业中占有主要份额,然后在机械化领域占有重要地位。因此,要实现农业机械的可持续发展,其数量必须达到最优水平。迄今为止,对农用车辆进行断裂失效分析的案例报道很少。本研究将对拖拉机排气歧管柱的失效、疲劳和寿命进行有限元分析。因此,循环应力/应变演化和重分布模拟是预测疲劳/断裂、提高机械部件断裂寿命预测精度的重要手段。进行断裂分析需要确定最大载荷,计算最大载荷需要考虑各种物理参数:构件的有限元网格和数值分析与验证
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引用次数: 0
A New Approch to Design and Implement Oscillator for Soc Application Soc振荡器设计与实现的新方法
B. K. Mishra, Sandhya Save, Rupali Mane
This paper applies embedding knowledge into model based design method, an efficient and cost-effective way to develop embedded systems. The approach is based on a single design description in the graphical Matlab/Simulink environment that is used for FPGA emulation, ASIC design, verification and chip testing. This simulation-based approach gives a better understanding of design alternatives and tradeoffs than traditional prototype-based design methodologies. It enables to optimize design to meet predefined performance criteria. The methodology is tested for designing VCO and the simulation results confirm the efficiency of presented methodology.
本文将嵌入式知识应用到基于模型的设计方法中,这是一种高效、经济的嵌入式系统开发方法。该方法基于图形化的Matlab/Simulink环境下的单个设计描述,用于FPGA仿真、ASIC设计、验证和芯片测试。与传统的基于原型的设计方法相比,这种基于仿真的方法可以更好地理解设计选择和权衡。它可以优化设计以满足预定义的性能标准。对该方法进行了VCO设计试验,仿真结果验证了该方法的有效性。
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引用次数: 3
A Key Renewal Model for Wireless Sensor Network Under Node Capture Attack 节点捕获攻击下无线传感器网络密钥更新模型
Alekha Kumar Mishra, A. K. Turuk
Node capture attack is one of the most dreadful security attack exist in wireless sensor networks. An adversary steals mostly all key informations from a captured node. Therefore, the impact of node capture attack can be lessened by renew the keys through a authenticated channel in a periodic or reactive manner. Existing key renewal techniques are mostly based on the statistic or behavior of attacks. In this paper we proposed a key renewal model in wireless sensor networks using age replacement policy. We use this model to find the expected time interval between two successive key renewals to mitigate the impact of node capture attack on the network. We have also deduced the relationship between expected time interval between successive key renewals and the strength of the attacker.
节点捕获攻击是无线传感器网络中存在的最可怕的安全攻击之一。攻击者从捕获的节点窃取大部分关键信息。因此,可以通过定期或响应的方式通过已验证的通道更新密钥,以减少节点捕获攻击的影响。现有的密钥更新技术大多基于攻击的统计数据或攻击行为。本文提出了一种基于年龄替换策略的无线传感器网络密钥更新模型。我们使用该模型来找到两次连续密钥更新之间的预期时间间隔,以减轻节点捕获攻击对网络的影响。我们还推导了连续密钥更新的预期时间间隔与攻击者的强度之间的关系。
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引用次数: 2
Human Visual System and Wavelet Transform Based Disparity Estimation 人类视觉系统与小波变换视差估计
Sanoj Kumar, N. Sukavanam, B. Raman, Sanjeev Kumar
In this paper, three new simple and efficient disparity estimation algorithms are proposed which are based on wavelet transform and human visual system. The core idea behind the proposed algorithms is to create a set of different left and right images followed by the disparity estimation from the different set. The obtained disparity from different left and right images are merged into a single more accurate disparity using human visual system model. Experiments with test and real stereo image pairs show the validity of the proposed method.
本文提出了基于小波变换和人眼视觉系统的三种简单有效的视差估计算法。该算法的核心思想是创建一组不同的左右图像,然后从不同的图像集中进行视差估计。利用人类视觉系统模型,将左右两幅不同图像的视差合并为一个更精确的视差。测试和真实立体图像对的实验表明了该方法的有效性。
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引用次数: 0
期刊
2011 Fourth International Conference on Emerging Trends in Engineering & Technology
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