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Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)最新文献

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Gradient Estimation Vector Modeling of signal attenuation in Underwater Wireless Sensor Networks 水下无线传感器网络中信号衰减的梯度估计矢量建模
J. Iqbal, F. Ahmed, M. Ishaque, Muhammad Hassan Nasir
A paradigm of novel-networking is presented by the Underwater Wireless Sensor Networks (UWSNs) when compared to Terrestrial Wireless Sensor Networks. Its not straightforward, instead, basic challenges need to be addressed for the deployment of UWSNs due to the environment type found underwater. UWSNs have to depend on other physical means such as acoustic signals for the transmission as the electromagnetic waves cannot be transmitted over a long distance in underwater environment. Large latency and low bandwidth are the key features of underwater wireless link as compared to the wireless link among ground-based sensors. The nature of transmission medium and physical properties of the environment of underwater acoustic channels are temporally and spatially variable. High variations occurring in underwater acoustic channels result in high uncertainties to precisely model the signal attenuation which is dependent on transmission link length and frequency. This paper has been intended to address such type of uncertainties and closely examine even minor variations occurring in signal attenuation in cases of spherical and cylindrical spreading. These variations have been addressed by using a mathematical modeling technique as `Gradient Estimation Vector'. It is the technique for systematically changing parameters in a model to determine the effects of such changes. Gradient Estimation Vectors actually characterize the signal attenuation more precisely along with the variations and uncertainties involved.
将水下无线传感器网络(UWSNs)与陆地无线传感器网络进行了比较,提出了一种新型组网模式。这并不简单,相反,由于水下环境类型,部署uwsn需要解决基本挑战。由于电磁波在水下环境中无法进行长距离传输,因此水下无线传感器网络的传输必须依靠声信号等其他物理手段。与地面传感器间的无线链路相比,水下无线链路的主要特点是时延大、带宽低。水声信道传输介质的性质和环境的物理性质在时间和空间上都是可变的。水声信道的高度变化导致信号衰减随传输链路长度和频率的精确建模存在很大的不确定性。本文旨在解决这种类型的不确定性,并仔细检查在球形和圆柱形扩散的情况下信号衰减发生的微小变化。这些变化已经通过使用“梯度估计向量”的数学建模技术来解决。它是一种系统地改变模型中的参数以确定这种变化的影响的技术。梯度估计向量实际上更准确地描述了信号衰减以及所涉及的变化和不确定性。
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引用次数: 2
Critical analysis of hopfield's neural network model and heuristic algorithm for shortest path computation for routing in computer networks hopfield神经网络模型及计算机网络中路由最短路径计算的启发式算法的关键分析
Farah Sarwar, A. A. Bhatti
Shortest path routing and its computation is a crucial point in computer networks, and has significant impact on overall network's performance. Being an issue of salient importance, many algorithms were proposed for shortest path computation and are still under research for more enhancements. Hopfield proposed a neural network based architecture for such optimization problems. Mehmet and Park Keum suggested improved energy functions for this neural network to implement it for routing in computer networks. A* search algorithm is a heuristic based approach, with the properties of Dijikstra algorithm and is used for same purpose. Performances of both approaches are compared and results are analyzed.
最短路径路由及其计算是计算机网络中的一个关键问题,对整个网络的性能有着重要的影响。作为一个非常重要的问题,人们提出了许多用于最短路径计算的算法,并且还在研究中进行进一步的改进。Hopfield针对这类优化问题提出了一种基于神经网络的体系结构。Mehmet和Park Keum建议改进该神经网络的能量函数,以便在计算机网络中实现路由。A*搜索算法是一种基于启发式的方法,具有Dijikstra算法的特性,用于相同的目的。比较了两种方法的性能,并对结果进行了分析。
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引用次数: 3
Acoustic longitudinal mode linear combustion instabilities in 3D solid fuel grain 三维固体燃料颗粒声纵模线性燃烧不稳定性
W. Ahmed, M. Arif, N. Noorullah
The combustion instabilities in solid rocket motor (SRM) are abiding predicament since their inception seven decades ago. The availability of large amount of energy in SRM combustion in comparison to small amount required to generate the combustion instabilities ensue the likely occurrence of the problem. This entails the SRM combustion instability prediction. This paper deals with the prediction of acoustic longitudinal mode linear combustion instabilities in 3D grain SRM. The stability history of SRM is predicted during motor burn time. This necessitates the performance (pressure/thrust) analysis. The FEA based solver is employed for the acoustic analysis of the grain port cavity as the grain burns. This is followed by determination of propellant response function. The computer code developed using approximate stability analysis results based on spatial and temporal averaging of the equations of two phase flow is used to predict the stability history. The results are presented and discussed for various longitudinal acoustic modes of SRM. The study evinces the decrease in stability margin with time and increase with mode number.
固体火箭发动机(SRM)的燃烧不稳定性问题自问世70多年来一直困扰着人们。与产生燃烧不稳定性所需的少量能量相比,SRM燃烧中大量能量的可用性导致了问题的可能发生。这就需要对SRM燃烧不稳定性进行预测。本文研究了三维颗粒SRM中声纵模线性燃烧不稳定性的预测问题。预测了发动机燃烧时SRM的稳定性历史。这就需要性能(压力/推力)分析。采用基于有限元分析的求解方法,对颗粒燃烧过程中膛腔的声学特性进行了分析。接着是推进剂响应函数的测定。利用基于两相流方程时空平均的近似稳定性分析结果开发的计算机程序来预测稳定历史。给出并讨论了SRM的各种纵向声模态的结果。研究表明,稳定裕度随时间的增加而减小,随模态数的增加而增大。
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引用次数: 0
Transient aero-thermal analysis of high speed vehicles using CFD 高速车辆瞬态气动热分析
M. Husain, S. Jamshed, Nauman M. Qureshi
The viscous dissipation within boundary layers of high speed vehicle creates high skin temperatures. Designing of an appropriate thermal protection system requires computation of thermal loads which would be experienced by vehicle during its flight trajectory. The objective of the present work is to develop a methodology for transient aerothermal analysis of high speed vehicle. The most appropriate method for predicting aerodynamic heating is computational fluid dynamics solution (CFD). Solid-Fluid coupling and transient boundary condition capabilities of CFD software FLUENT are used to develop required methodology. The available X-15 flight data is used for its validation. Temperature transients are calculated for complete flight trajectory of X-15 at wing mid-span chord location and compared with available flight data at stagnation, 4%, 20%, and 46% chord locations. The results obtained for skin temperatures at different locations are found both qualitatively and quantitatively in good agreement with in-flight data. This validates the methodology utilized in modeling the transient aero-thermal analysis of high speed vehicles. This method could be very useful in predicting the aerodynamic heating loads of high speed vehicles.
高速车辆边界层内的粘性耗散产生了较高的表面温度。设计合适的热防护系统需要计算飞行器在飞行过程中所承受的热载荷。本文的目的是建立一种高速车辆瞬态气动热分析方法。计算流体动力学解(CFD)是预测气动加热最合适的方法。利用CFD软件FLUENT的固流耦合和瞬态边界条件功能开发所需的方法。可用的X-15飞行数据用于验证。计算了X-15在机翼跨中弦位置的完整飞行轨迹的温度瞬变,并与滞止、4%、20%和46%弦位置的现有飞行数据进行了比较。在不同地点获得的皮肤温度结果在定性和定量上都与飞行中的数据很好地一致。这验证了高速车辆瞬态气动热分析建模方法的正确性。该方法可用于高速车辆气动热负荷的预测。
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引用次数: 4
Thermal considerations in high power microwave amplifiers design 高功率微波放大器设计中的热因素
Hira Naz, Umair Naeem, M.Fahad Farooqui, Musaddiq Ali Shah
The paper describes major thermal issues designers come across while designing high power solid state amplifiers for satellite applications. Various methods to minimize heat and temperature rise will be presented which consequently increases the efficiency of any high power amplifier. The choice of components, materials, layout and fixation techniques will also be highlighted in detail. Different design considerations for heat sinks and use of thermal conductors in designing of high power amplifiers will also be included in the presented work.
本文描述了设计人员在设计用于卫星应用的高功率固态放大器时遇到的主要热问题。各种方法,以尽量减少热量和温升将提出,从而提高任何高功率放大器的效率。组件、材料、布局和固定技术的选择也将被详细强调。在设计高功率放大器时,散热器和热导体的不同设计考虑也将包括在介绍的工作中。
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引用次数: 3
Synthesis and implementation of quadruplet filter with microstrip technology 微带四重态滤波器的合成与实现
M. Yousaf, H. Zahid
Modern wireless communication transceiver applications often pose stringent out-of-band rejection requirements which necessitate steep and sharp narrow band rejection profile for microwave filters. The use of transmission zero inserted filters are very common to achieve such a response type. Microstrip filters are popular implementation option because of their compactness and low mass where Q-factor required is not so high. In this paper, a step by step methodology is presented for design and realization of a quadruplet filter with two finite real-frequency symmetric transmission zeros. The filter is realized in microstrip and results are presented.
现代无线通信收发器应用往往提出严格的带外抑制要求,这就要求微波滤波器具有陡峭而锐利的窄带抑制轮廓。使用传输零插入滤波器是非常常见的,以实现这样的响应类型。微带滤波器是流行的实现选择,因为它们的紧凑性和低质量,其中所需的q因子不是那么高。本文提出了一种逐步设计和实现具有两个有限实频对称传输零点的四重态滤波器的方法。该滤波器在微带上实现,并给出了结果。
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引用次数: 0
Modeling of shallow water sea ambient noise using artificial neural network 浅水海洋环境噪声的人工神经网络建模
M. A. A. Rehmani, E. Raza, H. I. Hussain
In underwater signal processing the most important factor in quantifying the signatures of the radiating object is to decipher the signals which are prevalent in the ambient noise. Ambient noise is a complex and important phenomenon which greatly affects the listening capacity of instruments such as sonar in underwater environment. The ambient noise in sea is the overall combination of wind speed, wave speed, wave height, barometric pressure, dew point, temperature, marine life, shipping traffic and seismic activities. The work presented in this paper focuses only on three of the above mentioned parameters, namely, the wind speed, the barometric pressure and the temperature; which affect and play an important role in the overall spectrum of ambient noise in shallow water. In order to analyze the same data gathered in Ormara harbor over the past ten years was studied. Variation of the ambient noise in shallow water is investigated with respect to the above mentioned parameters. Finally a model for the ambient noise is proposed which is trained using an artificial neural network. High prediction accuracies of around 96% are obtained in different ISO standard octave bands.
在水下信号处理中,对辐射目标特征进行量化的最重要因素是对存在于环境噪声中的信号进行解码。环境噪声是一种复杂而重要的现象,它极大地影响着声纳等仪器在水下环境中的聆听能力。海洋环境噪声是风速、波速、波高、气压、露点、温度、海洋生物、船舶交通、地震活动等综合因素的综合。本文所做的工作只集中在上述三个参数上,即风速、气压和温度;它们在浅水环境噪声的整体频谱中起着重要的作用。为了分析过去十年在奥尔马拉港收集的相同数据,我们进行了研究。研究了浅水环境噪声对上述参数的影响。最后提出了一种基于人工神经网络的环境噪声模型。在不同的ISO标准倍频带下,预测精度达到96%左右。
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引用次数: 0
Performance estimate of oxygen nozzle of oxy-propane gas cutting torch 氧丙烷气割炬氧喷嘴的性能评价
Guo Hongjie, Han Yongkui, L. Guozhu
The oxy-propane cutting is often used in many metal-manufacturing processes. The oxygen nozzle is the most important component. This paper presents the structure of oxy-propane cutting torch and influence factor of cutting properties. Computational fluid dynamics (CFD) simulation is employed to analyze the flow field property parameters. And cutting ability is estimated according to the discussion results.
氧丙烷切割常用于许多金属制造工艺中。氧气喷嘴是最重要的部件。介绍了氧丙烷切割炬的结构及影响切割性能的因素。采用计算流体力学(CFD)模拟方法对流场特性参数进行了分析。并根据讨论结果对切削能力进行了估计。
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引用次数: 0
Mapping of visible to IR data for scene matching 映射可见到IR数据的场景匹配
M. A. Chaudhry, A. Baig, R. Nawaz
Scene matching has become a challenging problem due to multi-temporal and multi-modal image acquisition. There is no direct and linear relation between EO (Electro-optical) and IR (Infra-red) images, which are required to be matched. In this paper, we propose a statistical technique of mapping EO to IR data by transformation function deduced from their gray level distribution. As the proposed technique is statistical and deals with multi-modal data, MI index (Mutual Information) and its variants are more appropriate similarity measures in this case. Therefore, we have used mutual information as a measure of statistical dependence between the two images. Results of MI shows that technique is effective in mapping visible to IR spectrum.
由于多时间和多模态的图像采集,场景匹配成为一个具有挑战性的问题。EO (Electro-optical)和IR (infrared)图像之间没有直接的线性关系,需要进行匹配。本文提出了一种利用灰度分布推导出的变换函数将EO数据映射到IR数据的统计方法。由于所提出的技术是统计性的,并且处理多模态数据,因此MI指数(互信息)及其变体在这种情况下是更合适的相似性度量。因此,我们使用互信息作为两个图像之间统计依赖性的度量。结果表明,该技术在可见光到红外光谱的映射中是有效的。
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引用次数: 0
Automatic player detection and recognition in images using AdaBoost 使用AdaBoost在图像中自动检测和识别播放器
Z. Mahmood, T. Ali, S. Khattak
In this work we developed an augmented reality sports broadcasting application for enhanced end-user experience. The proposed system consists of three major steps. In the first step each player is detected using AdaBoost Algorithm. In second step, same algorithm is used to detect face in each player image. In third step, a robust face recognition algorithm is applied to match face of each player with an online database of players face images which also stores statistics of each player. The application can be used to show the users the statistics of players captured in still image using camera or smart phone. Useful statistics can be name of the player, height, age, sports record etc in specific game. For player and subsequent face detection we use Haar-like features and AdaBoost algorithm for both feature selection and classification. The employed face recognition system uses AdaBoost algorithm with Liner Discriminant Analysis as a week learner for feature selection in LDA subspace while classification is performed using a classic nearest center classifier. Detailed experimental results are shown on general player face database as well as on real baseball game images containing different number of players at various poses and lighting conditions.
在这项工作中,我们开发了一个增强现实体育广播应用程序,以增强最终用户体验。拟议的系统包括三个主要步骤。在第一步,每个球员被检测使用AdaBoost算法。第二步,使用相同的算法对每个球员图像进行人脸检测。第三步,应用鲁棒人脸识别算法将每个球员的人脸与在线球员人脸图像数据库进行匹配,该数据库还存储了每个球员的统计信息。该应用程序可用于向用户展示使用相机或智能手机捕获的静止图像中的球员统计数据。有用的统计数据可以是球员的名字,身高,年龄,在特定比赛中的运动记录等。对于球员和随后的人脸检测,我们使用haar类特征和AdaBoost算法进行特征选择和分类。所采用的人脸识别系统使用AdaBoost算法和线性判别分析作为LDA子空间特征选择的周学习器,使用经典的最近中心分类器进行分类。在普通球员人脸数据库上以及在不同姿态和光照条件下包含不同数量球员的真实棒球比赛图像上给出了详细的实验结果。
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引用次数: 24
期刊
Proceedings of 2012 9th International Bhurban Conference on Applied Sciences & Technology (IBCAST)
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