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2017 International Conference on Communication, Computing and Digital Systems (C-CODE)最新文献

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Adaptive processing of image using DWT and FFT OFDM in AWGN and Rayleigh channel 在AWGN和瑞利信道中采用DWT和FFT OFDM自适应处理图像
A. Mannan, A. Habib
Wireless communication has a very important role in the day to day life for everyone. The wireless technology is growing rapidly and there is a growing demand of high performance, capacity and larger bit rate wireless communication systems which cope wireless communication services such as high speed data, video and voice signals. Multicarrier modulation scheme like OFDM provides an efficient solution to overcome this problem. In this paper a gray scale image processing is done using a LMS algorithm with wavelet based OFDM system using the QPSK modulation scheme in AWGN and Rayleigh channel in SISO environment and results are compared with the conventional adaptive FFT based OFDM system. We reconstruct our transmitted signal at receiver; in both systems by minimizing the error by adaptive filter but the computational complexity of FFT based system is more as compared to DWT based system. Results are compared in term of SNR vs BER which shows that adaptive DWT based OFDM system perform better as compared to the conventional adaptive FFT OFDM system.
无线通信在每个人的日常生活中都扮演着非常重要的角色。随着无线技术的迅速发展,人们对高性能、大容量、高比特率的无线通信系统的需求日益增长,以应对高速数据、视频和语音信号等无线通信业务。OFDM等多载波调制方案为克服这一问题提供了有效的解决方案。本文采用LMS算法对基于小波变换的OFDM系统进行了灰度图像处理,该OFDM系统采用自适应FFT调制方式,采用AWGN和SISO环境下的瑞利信道,并与传统的自适应FFT OFDM系统进行了比较。我们在接收机重构发射信号;但基于FFT的系统的计算复杂度要高于基于DWT的系统。结果在信噪比和误码率方面进行了比较,表明基于DWT的自适应OFDM系统比传统的自适应FFT OFDM系统性能更好。
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引用次数: 8
A model for applying Agile practices in Distributed environment: A case of local software industry 分布式环境下敏捷实践的应用模型——以本地软件行业为例
K. Awar, M. M. I. Sameem, Y. Hafeez
Distributed teams faced a lot of obstacles faced while applying Agile practices in distributed environment, these obstacles were poorly understood by local software industry. In market, Agile and distributed software development became a need more than a trend. It seems to be problematic when Agile and distributed software development merge. There is need to identify those Agile practices adoptable for distributed teams and can also help local software industry to produce a quality software. This study contributes an empirical based investigation of the critical factors affect in Agile distributed. Study inductively formulated a theoretical model of how specific agile alignment practices affect in mitigating distributed Agile software development process. The model presented in this paper presented state-of-the-art of critical factors affect in Distributed Agile environment given in literature. For further proof of concept a case study was conducted to test the applicability of proposed model in local environment. Results indicate basis for further research in local industry Proposed model makes applicability of agile practices in distributed environment by tailoring Scrum and XP methods.
分布式团队在分布式环境中应用敏捷实践时面临着许多障碍,而这些障碍却很少被本地软件行业所理解。在市场上,敏捷和分布式软件开发已经成为一种需求,而不是一种趋势。当敏捷和分布式软件开发合并时,似乎会出现问题。有必要确定那些适合分布式团队的敏捷实践,也可以帮助本地软件行业生产高质量的软件。本研究对影响敏捷分布式开发的关键因素进行了实证研究。研究归纳地建立了一个理论模型,说明具体的敏捷对齐实践如何影响分布式敏捷软件开发过程。本文所建立的模型反映了文献中影响分布式敏捷环境的关键因素的现状。为了进一步证明概念,进行了案例研究,以测试所提出的模型在当地环境中的适用性。该模型通过对Scrum和XP方法的裁剪,使敏捷实践在分布式环境中具有适用性。
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引用次数: 9
Selection of EEG channels based on Spatial filter weights 基于空间滤波权值的脑电信号通道选择
Naveen Masood, Humera Farooq, Irfan Mustafa
Most of the Electroencephalography (EEG) based brain computer interfaces (BCIs) use large number of channels to capture the signals from subject's brain. This is one of the major issues in commercial and out of the lab usage of such systems. Common Spatial Pattern (CSP) algorithms are widely used for feature extraction in BCI systems for motor imagery. As the EEG signals have noise and overfitting issues, various regularized CSP algorithms are introduced to overcome these factors. In this work, a method is introduced to find the variant of CSP that achieves maximum classification accuracy with least number of EEG channels. The approach is based on firstly identify the spatial filter weights using complete set of channels. In the next step, the channels are selected based on the maximal filter weights. Channels with highest values are included to find the accuracy in next run and ultimately the optimum combination of number of channels, CSP variant and classification accuracy are reported. Multichannel data comprised of 60 electrodes from BCI Competition III dataset IIIa from three subjects who performed left hand, right hand, foot and tongue MI is considered for this purpose. For the data analyzed in this study, it is found that instead of using data from 60 electrodes only six can be used without significantly compromising the classification accuracy.
大多数基于脑电图(EEG)的脑机接口(bci)使用大量的通道来捕获来自受试者大脑的信号。这是此类系统在商业和实验室外使用中的主要问题之一。公共空间模式(CSP)算法被广泛应用于脑机接口系统中运动图像的特征提取。针对脑电信号存在噪声和过拟合问题,引入了各种正则化CSP算法来克服这些因素。本文提出了一种以最少脑电信号通道数获得最大分类精度的CSP变体的方法。该方法首先利用完整的信道集识别空间滤波器权值。在下一步中,根据最大滤波器权重选择通道。将值最高的信道加入到下次运行中寻找准确率,最终报告信道数、CSP变量和分类准确率的最佳组合。多通道数据由来自脑机接口大赛III数据集IIIa的60个电极组成,这些电极来自三名受试者,他们分别进行了左手、右手、脚和舌头的脑机接口。对于本研究中分析的数据,我们发现,在不显著影响分类精度的情况下,只使用6个电极的数据而不是使用60个电极的数据。
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引用次数: 9
Development of a low cost wireless IMU using MEMS sensors for pedestrian navigation 基于MEMS传感器的低成本无线IMU行人导航系统的开发
Naeem Mumtaz, Sana Arif, Nimra Qadeer, Z. Khan
This paper describes the design and development of a low cost Bluetooth based wireless inertial measurement unit (WIMU) for pedestrian navigation applications (PNS). Our aim is to use commercially available micro electromechanical system (MEMS) based inertial sensors to develop a miniature WIMU for GPS denied navigation applications including PNS. The challenging issues with noisy MEMS sensors and their integration to obtain attitude information is handled carefully by using sensor fusion algorithm while ensuring as minimum delay as possible for real time decision. The results have been compared with the sensor suite available in the Samsung Galaxy s5 smart phone and found to accurately following the trends in roll, pitch, yaw angles as well as x-y-z accelerations.
本文介绍了一种基于蓝牙的低成本行人导航无线惯性测量单元(WIMU)的设计与开发。我们的目标是使用商用微机电系统(MEMS)为基础的惯性传感器开发一个微型WIMU,用于GPS拒绝导航应用,包括PNS。采用传感器融合算法,在确保实时决策的最小延迟的同时,仔细处理了噪声MEMS传感器及其集成获取姿态信息的挑战性问题。结果与三星Galaxy s5智能手机的传感器套件进行了比较,发现可以准确地跟踪滚转、俯仰、偏航角以及x-y-z加速度的趋势。
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引用次数: 3
Enhancing the Nobel Prize schema 加强诺贝尔奖机制
Raabia Asif, M. A. Qadir
This paper describes the Nobel Prize schema available on the Nobel Prize official website. The Noble Prize schema only caters major facts regarding the prize data, a lot of details about the prize are still unstructured and stored in the form of html files. This research identifies some shortcomings in the schema and proposes additions in the schema to cater some of the html files.
本文描述了诺贝尔奖官方网站提供的诺贝尔奖模式。诺贝尔奖模式只处理与奖项数据有关的主要事实,关于奖项的许多细节仍然是非结构化的,并以html文件的形式存储。这项研究发现了模式中的一些缺点,并提出了在模式中添加一些内容以满足某些html文件的需求。
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引用次数: 3
Interference reduction in Cognitive radio networks using Genetic and Firefly Algorithms 利用遗传和萤火虫算法减少认知无线电网络的干扰
A. Elahi, I. Qureshi, Mehreen Atif, N. Gul
Cognitive radio (CR) is the novel technology in wireless communication, which has an ability to use the vacant spectrum of primary user smartly. Non Contiguous orthogonal frequency division multiplexing (NCOFDM), a multicarrier system is considered as the appropriate candidate for CR physical layer, but due to its high sidelobes it suffers from high out of band (OOB) radiation, that can affect its spectrum sharing capability. In this paper, we proposed two search algorithms: Genetic Algorithm (GA) and Firefly algorithm (FFA) for estimating the amplitudes of the Cancellation subcarriers (CCs). These CCs are inserted on either side of the used NCOFDM signal to cancel the sidelobes. Simulation results show that better sidelobe reduction is achieved by the proposed algorithms as compared to the existing techniques in the literature.
认知无线电(CR)是一种新兴的无线通信技术,它能够巧妙地利用主用户的空闲频谱。非连续正交频分复用(NCOFDM)多载波系统被认为是CR物理层的合适候选,但由于其高副瓣,其高带外辐射(OOB)会影响其频谱共享能力。在本文中,我们提出了两种搜索算法:遗传算法(GA)和萤火虫算法(FFA)来估计抵消子载波(cc)的幅度。这些cc被插入到使用的NCOFDM信号的两侧以抵消旁瓣。仿真结果表明,与文献中已有的方法相比,本文提出的算法具有更好的旁瓣抑制效果。
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引用次数: 12
Extended color code and Automated Quantification of Islet cells 胰岛细胞的扩展颜色编码和自动定量
Muhammad Tariq Baloch, S. Zaman, F. Wahab
Alpha (α) and Beta (β) Islet cells in pancreas of Langerhans can be utilized for analyzing primitive diabetes of both types 1 and 2. Manual counting and conventional investigation of such histological tissues is quite laborious, time taking, less reliable, and subject to error. In order to achieve more accurate results as quickly as possible, the presented work devices a novel color scheme code (I4) from existing schemes (I1,I2,I3). Moreover the work offers an Automated Quantification technique for enumeration and segmentation of pancreatic mass from microscopic images. The technique includes five modules; (1) Segmentation to magnify Islet cells from the rest of mass, (2) Equalization uses Contrast-Limited Adaptive Histogram equalization method in order to enhance contrasts between different intensity levels, (3) Color Space Formation uses existing color spaces with proposed smart calculations to construct novel color space code, (4) Image Conversion applies novel color space code on the image followed by certain post processing (binarization, hole-filling, erosion), and (5) Cell Analysis uses connected component labeling to finally identify and label the cells. The technique is evaluated against a number of diverse microscopic images obtaining satisfactory empirical results with recognition confidence interval in terms of true positive, false positive, and false negative are respectively 97.75 ± 2.64, 1.79 ± 1.04, and 1.37 ± 0.84. The work offers two contributions: it devices a novel color scheme, and offers an automated quantification methodology.
朗格汉斯胰腺的α (α)和β (β)胰岛细胞可用于分析1型和2型原始糖尿病。这种组织学组织的人工计数和常规调查相当费力,耗时,不太可靠,而且容易出错。为了尽快获得更准确的结果,本文提出的工作装置从现有的方案(I1,I2,I3)中获得了一种新的配色方案代码(I4)。此外,这项工作提供了一种自动量化技术,用于从显微镜图像中枚举和分割胰腺肿块。该技术包括五个模块;(1)分割将胰岛细胞从其他质量中放大;(2)均衡化使用对比度有限的自适应直方图均衡化方法来增强不同强度水平之间的对比度;(3)颜色空间形成使用现有的颜色空间并提出智能计算来构建新的颜色空间代码;(4)图像转换在图像上应用新的颜色空间代码,然后进行一定的后处理(二值化,填充孔,侵蚀)。(5)细胞分析(Cell Analysis)采用连通成分标记,最终对细胞进行识别和标记。该技术对多种显微图像进行了评估,获得了令人满意的经验结果,在真阳性、假阳性和假阴性方面的识别置信区间分别为97.75±2.64、1.79±1.04和1.37±0.84。这项工作提供了两个贡献:它设计了一种新的配色方案,并提供了一种自动化的量化方法。
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引用次数: 0
A community-centric access control scheme for Online Social Networks 以社区为中心的在线社交网络访问控制方案
Yousra Asim, Wajeeha Naeem, Ahmad Kamran Malik
Online Social Network facilitate its users to form groups for sharing their personal information, interests and activities with their friends, relatives and others. Such type of information disclosure can cause problems for people in terms of security. Access of different group members is controlled in Online Social Networks to minimize such security risks to personal information and user resources. Researchers have used social network actor-relationship graph to control the access based on relationship type, trust and attributes. This paper discusses available techniques in CBAC, ABAC and ReBAC to provide security to social network data and objects. A community-centric access control model using brokerage roles, attributes, and trust techniques is presented with its formal description.
在线社交网络方便用户组成小组,与他们的朋友、亲戚和其他人分享他们的个人信息、兴趣和活动。这种类型的信息泄露会给人们带来安全方面的问题。Online Social Networks对不同群组成员的访问进行了控制,将个人信息和用户资源的安全风险降到最低。研究者基于关系类型、信任和属性,利用社会网络角色关系图对访问进行控制。本文讨论了在CBAC、ABAC和ReBAC中可用的技术来为社交网络数据和对象提供安全性。本文给出了一个以社区为中心的访问控制模型,该模型使用代理角色、属性和信任技术,并给出了它的正式描述。
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引用次数: 0
Non-linear filtering techniques for high precision GPS applications 高精度GPS应用的非线性滤波技术
S. Nisar, Ihsan Ullah
Nonlinear family of Kalman filters is employed to a nonlinear dynamic system for the purpose of state estimation. Extended, unscented and cubature Kalman filters are formulated and deployed to the nonlinear estimation of Global Positioning System(GPS) model. The state dynamics and measurement model of GPS is illustrated. Performance of extended, unscented and cubature Kalman filter is presented through simulation results. The results prove that the proposed use of CKF for GPS navigation outperforms other nonlinear filters. Computation complexity of each filter is also computed for comparison.
将非线性卡尔曼滤波器族用于非线性动态系统的状态估计。提出了扩展卡尔曼滤波器、无气味卡尔曼滤波器和cubature卡尔曼滤波器,并将其应用于全球定位系统(GPS)模型的非线性估计。阐述了GPS的状态动力学和测量模型。仿真结果显示了扩展卡尔曼滤波器、无气味卡尔曼滤波器和培养卡尔曼滤波器的性能。结果表明,该方法在GPS导航中的应用优于其他非线性滤波方法。并对各滤波器的计算复杂度进行了比较。
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引用次数: 3
UWB BAN antennas: Recent trend and developments UWB BAN天线:最近的趋势和发展
Sajjad Hussain, Wajiha Munir
This paper provides a detailed review of Ultra Wide Band (UWB) antennas designed for Body Area Network (BAN) applications, published during last five years. Design parameters namely substrate, size, feeder, bandwidth, design structure (geometry) and use of Artificial Magnetic Conductor (AMC) are discussed. Performance in term of gain, radiation pattern, Specific Absorption Rate (SAR) of antennas near human body are reviewed.
本文详细回顾了近五年来为体域网络(BAN)应用设计的超宽带(UWB)天线。讨论了设计参数,即衬底、尺寸、馈线、带宽、设计结构(几何形状)和人工磁导体(AMC)的使用。从增益、辐射方向图、比吸收率(SAR)等方面综述了近人体天线的性能。
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引用次数: 3
期刊
2017 International Conference on Communication, Computing and Digital Systems (C-CODE)
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