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An Investigation of Gain Enhancement of Microstrip Antenna by Using Inhomogeneous Triangular Metamaterial 利用非均匀三角形超材料增强微带天线增益的研究
A. Panda, A. Sahu
Metamaterial have been shown to enhance specific performance parameters of low profile antennas. In this paper we investigate appreciably enhancement of the gain & radiation pattern of a low profile micro strip patch antenna by placing a metamaterial slab above it (as a super strate) using CST MWS simulator. This paper proposes a metamaterial super strate surface as a reflective surface for micro strip patch antenna (MPA). The MTM structure was a combination of the triangular SRR (TSRR) and the wire strip (WS) to obtain negative values of permittivity & permeability. The gain of the MPA with MRS is around 5 dB higher than that of conventional MPA on FR4 substrate. These improvements were due to negative refraction characteristics of LHM structure that converts into super-lens, when placed in front of the antenna. The small spacing between MRS and the patch surface was another merit in the present design, which was as low as ?/10 as it results in low profile antenna design, that will suits in modern wireless communication system.
超材料已被证明可以提高低轮廓天线的特定性能参数。在本文中,我们研究了增益的显著增强。利用CST MWS模拟器,通过在低轮廓微带贴片天线上放置超材料板(作为超层),模拟了微带贴片天线的辐射方向图。提出了一种超材料超层表面作为微带贴片天线的反射表面。MTM结构是三角形SRR (TSRR)和线带(WS)的组合,以获得负的介电常数&渗透率。与传统的FR4基板上的MPA相比,带MRS的MPA的增益提高了约5db。这些改进是由于LHM结构的负折射特性,当放置在天线前面时,它可以转换为超级透镜。本设计的另一个优点是MRS与贴片表面之间的间距小,小到1 /10,这使得天线设计更小,更适合现代无线通信系统。
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引用次数: 9
Adaptivity of Arod Routing Protocol in Sparse and Dense Ad-Hoc Networks 稀疏和密集Ad-Hoc网络中Arod路由协议的自适应研究
Kiran Modani, A. Katariya
The dynamics of an ad hoc network has became vital factor for protocol design because mobility of nodes leads to unstable routing, and consequently flows encounter fluctuations in resource availability on various paths during the lifetime of a session. This has become serious, especially for those protocols based on single-path reservation, as frequent reservation and restoration of reservation-based flows increase the instability of connections. Advances in wireless research are focusing more and more on the adaptation capability of routing protocols. These protocols are interrelated to each other among various performance measures such as those related to topological changes (link breakages, node mobility, etc.) and quality of service (QoS) parameters. Sometimes, dynamic ad hoc networks resemble a dense ad hoc network. At other times, they resemble sparse network where nodes are located far away from each other. Many real networks follow the structure of dynamic ad hoc networks. Military networks, wildlife tracking sensor networks, and vehicle networks are some of these examples. In dynamic ad hoc networks, conventional routing schemes fail when the network characteristics do not fall into their applicable scenarios. Previous research has proposed a variety of routing schemes for each specific network scenario. For instance, distributed routing tables are built for efficient multi-hop, single copy routing in static and dense networks. Mobility assisted multi-copy routings are proposed in sparse networks where contemporary paths might not exist. After having review on these protocol and using some specific characteristic from these protocol we have designed a new routing algorithm that can work well in dense as well as sparse network. With the advantages of the existing schemes in mind, we introduce a new routing scheme, Adaptive Routing in Dynamic ad hoc networks (AROD), which is a seamless integration of several existing schemes.
自组织网络的动态性已成为协议设计的重要因素,因为节点的移动性导致路由不稳定,因此流在会话的生命周期内会遇到各种路径上资源可用性的波动。由于频繁的保留和基于保留的流的恢复增加了连接的不稳定性,这已经变得非常严重,特别是对于那些基于单路径保留的协议。无线研究的进展越来越关注路由协议的自适应能力。这些协议在各种性能度量之间相互关联,例如与拓扑变化(链路中断、节点移动等)和服务质量(QoS)参数相关的性能度量。有时,动态自组织网络类似于密集的自组织网络。在其他时候,它们类似于稀疏网络,节点彼此相距很远。许多实际网络都采用动态自组织网络的结构。军事网络、野生动物跟踪传感器网络和车辆网络就是其中的一些例子。在动态自组织网络中,当网络特性不符合应用场景时,传统的路由方案会失败。以前的研究已经针对每个特定的网络场景提出了各种路由方案。例如,分布式路由表是为了在静态和密集网络中实现高效的多跳、单副本路由而构建的。在现有路径不存在的稀疏网络中,提出了机动性辅助多拷贝路由。在回顾了这些协议的基础上,利用这些协议的一些特点,设计了一种新的路由算法,可以很好地工作在密集和稀疏网络中。考虑到现有路由方案的优点,我们提出了一种新的路由方案——动态自适应路由(AROD),它是几种现有路由方案的无缝集成。
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引用次数: 0
IPv6 Mobile Sensor Network Architecture for SCADA System 面向SCADA系统的IPv6移动传感器网络架构
Yvette E. Gelogo, Seung-Hwan Jeon, Tai-hoon Kim
SCADA systems play a vital role in nations' critical infrastructures and taking it to the next level of enhance operations we proposed new mobile sensor network architecture for SCADA system. The key value of Sensor devices is monitoring of physical and industrial environments. The data is captured by sensors and communicate to a central controller which analyses the data and takes appropriate actions. We studied the existing protocols and integrate it with IPv6 to support mobility. Our motivation in this study is to make architecture for mobile sensor network which is appropriate for SCADA system aiming to make it mobile to enhance the conventional system that SCADA system is currently have. This is also in connection with the aim to level up the SCADA components from fixed to mobile.
SCADA系统在国家的关键基础设施中发挥着至关重要的作用,为了将其提升到一个新的水平,我们提出了新的SCADA系统移动传感器网络架构。传感器设备的关键价值是监测物理和工业环境。数据被传感器捕获,并与中央控制器通信,中央控制器分析数据并采取适当的行动。我们研究了现有的协议,并将其与IPv6集成以支持移动性。本研究的动机是设计适合于SCADA系统的移动传感器网络架构,使其具有可移动性,以增强SCADA系统现有的传统系统。这也与将SCADA组件从固定升级到移动的目标有关。
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引用次数: 1
An Expert System for Incipient Fault Diagnosis and Condition Assessment in Transformers 变压器早期故障诊断与状态评估专家系统
H. Malik, T. Tarkeshwar, R. Jarial
The gases generated in oil filled transformer can be used for determination of incipient faults. Dissolved gas analysis (DGA) of transformer oil has been one of the most power full methods to detect the faults. The various methods such as liquid chromatography, acoustic analysis, and transformer function techniques are require some experience to interpret observations. The researchers have used artificial intelligence (AI) approach to encode these diagnostic techniques. This paper presents fuzzy-logic application and an overview of ANN techniques which can diagnose multiple faults in a transformer. Theoretical and practical fuzzy-logic (FL) information model and various researchers' ANN based experimental conclusion have been presented. This paper includes a demonstration of the application of the FL technique for transformer incipient fault diagnosis.
充油变压器产生的气体可用于早期故障的判定。变压器油溶解气体分析(DGA)已成为最常用的故障检测方法之一。各种方法,如液相色谱法、声学分析和变压器函数技术都需要一些经验来解释观察结果。研究人员使用人工智能(AI)方法对这些诊断技术进行编码。本文介绍了模糊逻辑在变压器多故障诊断中的应用,并对人工神经网络技术进行了综述。本文给出了理论和实践中的模糊逻辑信息模型以及各种研究者基于人工神经网络的实验结论。本文介绍了FL技术在变压器早期故障诊断中的应用。
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引用次数: 30
Formant Analysis of Punjabi Non-nasalized Vowel Phonemes 旁遮普语非鼻化元音音素的构象分析
Pardeep Singh, Kamlesh Dutta
This paper presents the analysis of vowel phonemes of Punjabi. It shows formant analysis of vowels produced by speakers of Punjabi as a first language from Punjab. Comparison and analysis have been given with ten vowel phonemes of English. The vowel productions of a group of male speakers of Punjabi were recorded. Acoustic phonetic analyses of vowel formant frequencies and vowel duration were performed. It is amply clear in analysis that both language have different vowel phonemes. Mean of the respective formant frequencies are different.
本文对旁遮普语的元音音素进行了分析。它显示了旁遮普语作为旁遮普的第一语言的发言者所产生的元音的形成音分析。对英语的十个元音音素进行了比较分析。记录了一组旁遮普语男性的元音。对元音形成频率和元音持续时间进行了声学语音分析。分析表明,两种语言的元音音素是不同的。各共振峰频率的平均值不同。
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引用次数: 9
Analysis of Bidirectional Associative Memory of Neural Network Method in the String Recognition 神经网络方法在字符串识别中的双向联想记忆分析
A. Gupta, Y. Singh
This paper aims that analysing neural network method in pattern recognition. A neural network is a processing device, whose design was inspired by the design and functioning of human brain and their components. The proposed solutions focus on applying Bidirectional Associative Memory method model for pattern recognition. The primary function of which is to retrieve in a pattern stored in memory, when an incomplete or noisy version of that pattern is presented. An associative memory is a storehouse of associated patterns that are encoded in some form. In auto-association, an input pattern is associated with itself and the states of input and output units coincide. When the storehouse is incited with a given distorted or partial pattern, the associated pattern pair stored in its perfect form is recalled. Pattern recognition techniques are associated a symbolic identity with the image of the pattern. This problem of replication of patterns by machines (computers) involves the machine printed patterns. There is no idle memory containing data and programmed, but each neuron is programmed and continuously active.
本文旨在分析神经网络方法在模式识别中的应用。神经网络是一种处理装置,其设计灵感来自于人类大脑及其组成部分的设计和功能。提出的解决方案侧重于将双向联想记忆方法模型应用于模式识别。它的主要功能是检索存储在内存中的模式,当该模式的不完整或有噪声的版本出现时。联想记忆是以某种形式编码的关联模式的仓库。在自动关联中,输入模式与自身相关联,并且输入和输出单元的状态一致。当仓库被给定的扭曲的或部分的图案激发时,以其完美形式存储的相关图案对被召回。模式识别技术是将一个符号身份与模式图像相关联。这个由机器(计算机)复制图案的问题涉及到机器打印图案。没有包含数据和编程的空闲内存,但每个神经元都被编程并持续活跃。
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引用次数: 6
Modeling and Simulation of High Performance Sixth Order Sigma-Delta MEMS Accelerometer 高性能六阶Sigma-Delta MEMS加速度计的建模与仿真
G. Saxena, V. Thamarai
MEMS fabrication process is an inherently rugged technology and has great potential to bring forth novel solutions on the harsh environment and critical applications. This paper reports on a very high performance closed-loop MEMS accelerometer targeted at inertial navigation applications. Motivation of this paper is to develop a high resolution inertial grade closed loop Accelerometer using the MEMS sensor fabricated at LEOS. The MEMS sensor with comb type structure has a sensitivity of 6 pF / g. This paper reports on the design and detailed simulation of signal conditioning circuit for MEMS accelerometer using a 6th order Sigma-Delta IC ADS-1278 provided by Texas Instruments. The functionality and the performance of the system were studied by P-Spice simulation. Signal-to-noise ratio (SNR) of 97.8dB and effective number of bits (ENOB) of 16 bits over a measurement range of +/-1g was estimated with an over sampling ratio (OSR) of 128.
MEMS制造工艺本身就是一种坚固耐用的技术,在恶劣环境和关键应用中具有巨大的潜力,可以提出新的解决方案。本文报道了一种针对惯性导航应用的高性能闭环MEMS加速度计。本文的动机是利用LEOS制造的MEMS传感器开发一种高分辨率惯性级闭环加速度计。采用美国德州仪器公司提供的6阶Sigma-Delta集成电路ADS-1278,设计并详细仿真了MEMS加速度计的信号调理电路。通过P-Spice仿真对系统的功能和性能进行了研究。在+/-1g的测量范围内,估计信噪比(SNR)为97.8dB,有效比特数(ENOB)为16位,过采样比(OSR)为128。
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引用次数: 7
Few More Quasi-Orthogonal Space-Time Block Codes for Four Transmit Antennas 四个发射天线的准正交空时分组码
N. Thakur, S. S. Thakur, A. Gogoi
In this paper, we derive few new quasi-orthogonal space-time block codes for four transmit antennas. These codes differ from each other and existing codes in character matrices and/or correlated values in character matrices. These codes can be constructed using elementary sub-matrices. We also derive corresponding maximum-likelihood decoders for the proposed codes. We observe that decoding complexity of some of these codes is less as compared to the rest of them for rectangular-QAM modulation. Bit error rate performance of these codes have been shown to be same as those of existing quasi-orthogonal space time block codes for four transmit antennas over quasi-static flat Rayleigh fading channels.
本文给出了四个发射天线的准正交空时分组码。这些代码彼此不同,不同于字符矩阵中的现有代码和/或字符矩阵中的相关值。这些码可以用初等子矩阵构造。我们还推导了相应的最大似然解码器。我们观察到,与其他矩形qam调制相比,其中一些编码的解码复杂性较低。这些码的误码率性能与现有的准正交空时分组码在准静态平坦瑞利衰落信道上的误码率性能相同。
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引用次数: 7
Modified Normalized Least Mean Square Algorithm with Improved Minimization Criterion 改进最小化准则的改进归一化最小均方算法
Manish D. Sawale, Ram Narayan Yadav
In this paper we develop an improved minimization criterion for normalized least mean squares (NLMS) algorithm using past weight vectors and adaptive learning rate. The proposed criterion minimizes the summation of each squared Euclidean norm of difference between the currently updated weight vector and past weight vector. The result of the modified NLMS algorithm has lower misalignment than the conventional NLMS algorithm for various SNR. The simulation shows that the convergence rate of proposed NLMS algorithm is faster as the previous weight vectors and SNR increases.
本文利用过去的权重向量和自适应学习率,提出了一种改进的归一化最小均方(NLMS)算法的最小化准则。该准则最小化了当前更新的权重向量和过去的权重向量之间的差的每个平方欧氏范数的总和。在不同信噪比下,改进的NLMS算法比传统的NLMS算法具有更低的误差。仿真结果表明,随着原权向量和信噪比的增大,所提NLMS算法的收敛速度加快。
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引用次数: 0
Gesture Recognition and Generation for HOAP-2 Robots by Fuzzy Inference System 基于模糊推理系统的HOAP-2机器人手势识别与生成
R. Doriya, Parikshit Agarwal, P. Chakraborty, G. Nandi
Since HOAP series robots resemble human body structure, a HOAP robot is expected to interact with others in real-time. However, it has proven hard in terms of learning, recognition, and interaction in real-time. In this paper a Fuzzy Inference System (FIS) is proposed, which learns gestures with segmentation and motion primitives, recognize gestures with created rule-based system in learning phase, and generate interactive gesture for HOAP-2 robot using real-world human interaction patterns. We also have a pre-processing element during gesture learning, which helps in better fuzzy rule generation and recognition with motion recognizer. Finally, at interactive gesture generation phase, some interactive parameters are incorporated to generate best possible response. We demonstrate the validity of proposed model with several interactive gestures of HOAP-2 robot in real-time.
由于HOAP系列机器人与人体结构相似,因此期望HOAP机器人能够与其他机器人进行实时交互。然而,在实时学习、识别和交互方面,它已经被证明是困难的。本文提出了一种模糊推理系统(FIS),该系统通过分割和运动基元来学习手势,在学习阶段通过建立基于规则的系统来识别手势,并利用现实世界的人机交互模式为HOAP-2机器人生成交互式手势。我们还在手势学习过程中加入了预处理元素,这有助于更好的模糊规则生成和运动识别器的识别。最后,在交互手势生成阶段,引入一些交互参数以生成最佳可能响应。我们用HOAP-2机器人的几个实时交互手势验证了所提模型的有效性。
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引用次数: 2
期刊
2011 International Conference on Computational Intelligence and Communication Networks
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