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2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)最新文献

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Stochastic Network Optimization of Data Dissemination for Multi-hop Routing in VANETs vanet中多跳路由数据传播的随机网络优化
B. Ravi, Jaisingh Thangaraj, Shrinivas Petale
Route selection and management are one of the key issues in Vehicular Ad-hoc Networks (VANETs). The vehicular networks are envisioned of intelligent transport systems (ITS) by providing safety and services on the highway. The medium access control is based on IEEE 802.11p standard and has been created for Vehicle to Infrastructure (V2I) and Vehicle to Vehicle (V2V) communications. But in VANET, issues like route request, route reply, route discovery, and maintenance are not addressed properly. In this paper, we have proposed the routing protocol to deal with routing issues. We investigated the impact of multi-hop routing in the queuing system (M/G/c/c) along with the focus of the performance of VANETs on the basis of the probability of waiting for the queue, system utilization, mean throughput and blocking probability between V2V communications.
路由选择和管理是车载自组网(vanet)的关键问题之一。通过在高速公路上提供安全和服务,车辆网络被设想为智能交通系统(ITS)。媒体访问控制基于IEEE 802.11p标准,为车辆对基础设施(V2I)和车辆对车辆(V2V)通信而创建。但是在VANET中,路由请求、路由应答、路由发现和维护等问题没有得到适当的解决。在本文中,我们提出了路由协议来处理路由问题。基于排队等待概率、系统利用率、平均吞吐量和V2V通信之间的阻塞概率,研究了多跳路由对排队系统(M/G/c/c)的影响,重点研究了VANETs的性能。
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引用次数: 7
Robust Speaker Diarization for News Broadcast 面向新闻广播的稳健说话人划分
M. Karthik, Mirishkar Sai Ganesh, B. Patnaik
This contribution presents an efficient method of speaker diarization that employs bayesian information criterion for speaker embeddings. In contrast to the traditional approaches the speaker segmentation is done using manually spectral features. The proposed method is capable enough to segment audio recording of a broadcast news by $i$-vectors as well as GMM speaker model and the conventional GMM based agglomerative for clustering the data. An unsupervised Voice Active Detector (VAD) has been developed, so that it could distinguish between speech frame and non-speech frame such that the non-speech frames can be discarded. The results of our proposed method showed significantly outperformed with the benchmark methods and reduced the diarization error margin by 14%.
提出了一种利用贝叶斯信息准则进行说话人嵌入的有效方法。与传统的方法相比,该方法是使用手动的频谱特征来分割说话人。该方法能够对广播新闻的录音进行$ 1 $-向量分割,并结合GMM说话人模型和传统的基于GMM的聚类方法对数据进行聚类。提出了一种无监督语音主动检测器(VAD),它可以区分语音帧和非语音帧,从而丢弃非语音帧。结果表明,该方法明显优于基准方法,并将初始化误差降低了14%。
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引用次数: 0
Dynamical Digital Authentication for Wireless Domain With Randomized Dispersing of Multiple Secret Signatures 随机分散多重秘密签名的无线域动态数字认证
Soumit Chowdhury, Arkadip Ray, R. Mukherjee, N. Ghoshal
The work promotes reliable dynamical validations for transmitted e-documents using session wise randomly hidden secret multi-signatures. Client triggers this protocol by deriving the random circular sequencing of such invisible signatures onto the cover image e-document. Additional security and authenticity criteria met with dynamical orientations of hidden signature bits on concern sub block pixel bytes of the cover image. Vitally both these dynamical fabrications are fully governed by the respective mathematical operations executed on client-server based mutual secret key and session random challenge. Hence, same dynamical authentications for those valid copyright signatures can also be complied at the server end. Apart from that multi-copy signature dispersing with hosting of each individual signature copy on each separate regions of the cover image serves better authenticity and robustness under attacks. Further region wise varied transforms on sub image blocks with variable threshold range driven sign bit encoding on separate transformed pixel bytes of such sub blocks ensures excellent robustness and recovery of signatures. Finally, exhaustive experimental results also confirmed strong superiority of this scheme over existing works with significant enhancements on standard evaluation parameters. Overall, this protocol reflects better trusted authentication, confidentiality and non-repudiation for wireless digital transmissions in contrast to the current ideas.
该工作采用会话智能随机隐藏秘密多重签名,促进了传输电子文档的可靠动态验证。客户端通过在封面图像电子文档上导出这些不可见签名的随机循环序列来触发此协议。在封面图像的相关子块像素字节上隐藏签名位的动态方向满足附加的安全性和真实性标准。实际上,这两种动态构造都完全由各自在基于客户端-服务器的相互秘密密钥和会话随机挑战上执行的数学操作控制。因此,对于那些有效的版权签名,也可以在服务器端进行相同的动态认证。此外,多副本签名分散托管每个单独的签名副本在封面图像的每个单独的区域提供更好的真实性和鲁棒性攻击。在子图像块上进一步进行区域可变变换,对这些子块的单独变换像素字节进行可变阈值范围驱动的符号位编码,确保了签名的出色鲁棒性和恢复性。最后,详尽的实验结果也证实了该方案较现有方案具有较强的优越性,在标准评价参数上有显著提高。总的来说,与目前的想法相比,该协议反映了无线数字传输更好的可信身份验证、机密性和不可否认性。
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引用次数: 0
SIS Rumor Spreading Model With Population Dynamics in Online Social Networks 在线社交网络中具有人口动态的SIS谣言传播模型
Suyalatu Dong, Yong-chang Huang
Based on the characteristics of rumor spreading in online social networks, this paper proposes a new rumor spreading model. This is a SIS rumor spreading model in online social networks that combines the transmission dynamics and population dynamics so that the impact of changing number of online social network users and user activity is considered. We numerically simulate the rumor spreading process. The results of numerical simulation show that the improved SIS model can successfully characterize the rumor spreading behavior in online social networks. We also give the effective strategies of curbing the rumor spreading in online social networks.
本文根据网络社交网络中谣言传播的特点,提出了一种新的谣言传播模型。这是一个网络社交网络中的SIS谣言传播模型,它结合了传播动态和人口动态,从而考虑了网络社交网络用户数量和用户活跃度变化的影响。我们用数值模拟了谣言的传播过程。数值模拟结果表明,改进的SIS模型可以很好地表征在线社交网络中的谣言传播行为。本文还提出了遏制网络社交网络谣言传播的有效策略。
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引用次数: 8
A Compact Polygon Shape Ultra Wideband Antenna For Portable Devices 便携式设备用紧凑型多边形超宽带天线
Arti Kumari, R. K. Badhai, P. Suraj
A compact ultra-wideband antenna with tapered feeding technique is presented in this paper. The antenna design has a dimension of 25 × 30 × 1.6 mm3. This antenna covers a bandwidth of 1.2 to 12 GHz. The proposed antenna can be used for the multiband application and it covers the UWB frequency ranges. A single parasitic microstrip resonator is introduced on the back of the resonator which increases the bandwidth of the proposed antenna. The partial ground with inverted L shaped sleeve is used for better impedance matching and wide bandwidth.
提出了一种采用锥形馈电技术的小型超宽带天线。天线设计尺寸为25 × 30 × 1.6 mm3。该天线覆盖的带宽为1.2至12 GHz。该天线可用于多波段应用,覆盖了超宽带频率范围。在谐振器的背面引入了单个寄生微带谐振器,从而增加了所提出的天线的带宽。采用倒L型套筒部分接地,阻抗匹配好,带宽宽。
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引用次数: 5
Secured Routing in VANETs Using Lightweight Authentication and Key Agreement Protocol 使用轻量级身份验证和密钥协议协议的vanet中的安全路由
D. K. Sandou, N. Jothy, K. Jayanthi
Vehicular Ad hoc Network (VANETs) allows the vehicles on the roads to form a self-organized network and is blooming up in a exotic way to support intelligent transportation services. In VANETs, the vehicles are the nodes and hence move at very high speed leading to frequent changes in topology resulting in loss of data that causes failure in data reliability. Consequently ensuring security and routing in VANET remains to be a highly challenging and complex task to design. The existing protocol using SHA, suffers from exorbitant delay because of the large key size. To overcome this limitation, a lightweight authentication protocol using key agreement protocol for VANETs, which uses public key encryption scheme and Opportunistic Adaptive neighbour Selection–Vehicle Localisation (OANS- VL) protocol is proposed in this paper. It provides high security, less network delay and better packet delivery ratio compared to the existing protocol. The test bed scenario is implemented using NS2 tool for simulation analysis and the same has been analyzed to obtain the performance metrics.
车辆自组织网络(Vehicular Ad hoc Network, VANETs)允许道路上的车辆形成一个自组织网络,并以一种奇特的方式支持智能交通服务。在VANETs中,车辆是节点,因此以非常高的速度移动,导致拓扑结构频繁变化,导致数据丢失,从而导致数据可靠性失效。因此,确保VANET的安全性和路由仍然是一项极具挑战性和复杂的设计任务。使用SHA的现有协议由于密钥大小过大而存在过高的延迟。为了克服这一限制,本文提出了一种基于密钥协议的VANETs轻量级认证协议,该协议采用公钥加密方案和机会自适应邻居选择-车辆定位(OANS- VL)协议。与现有协议相比,它具有更高的安全性,更小的网络延迟和更好的数据包传输率。利用NS2工具实现了试验台场景的仿真分析,并对其进行了分析,得到了性能指标。
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引用次数: 4
An Improved Compatibility Based on Weighted Local and Global Information for Graph Matching 基于加权局部和全局信息的改进兼容性图匹配
Xue Lin, Xiuyang Zhao, Dongmei Niu
Graph matching is a fundamental NP-problem in computer vision and pattern recognition. The computing of compatibility is a key problem in graph matching. In order to overcome the limitation of Euclidean distance when computing the compatibility, we introduce the weighted local and global topology structure information as a second order compatibility term. We have tested our method on a group of synthetic graphs, the CMU house sequence and the real images. Experimental results demonstrate the superior performance of our weighted compatibility based on the local and global topology structure information as compared with the traditional method based on the Euclidean distance.
图匹配是计算机视觉和模式识别中的一个基本np问题。兼容性计算是图匹配中的一个关键问题。为了克服计算兼容性时欧几里得距离的限制,我们引入加权的局部和全局拓扑结构信息作为二阶兼容性项。我们已经在一组合成图、CMU房屋序列和真实图像上测试了我们的方法。实验结果表明,与基于欧氏距离的传统方法相比,基于局部和全局拓扑结构信息的加权兼容性具有更好的性能。
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引用次数: 0
Full Duplex and Pattern Reconfigurable System Antenna Design for 5G Wireless Communications Systems Using a Quadrature 3 dB Coupler 采用正交3db耦合器的5G无线通信系统全双工和模式可重构系统天线设计
L. Sane, I. Dioum, K. Tall, M. M. Khouma, K. Diallo, S. M. Farssi
This paper presents a full duplex and reconfigurable pattern system antenna design for 5G wireless communications systems. The proposed system is a MIMO 2 $times$ 2 antenna operating at the central frequency 2.622 GHz of the LTE2500 band. A quadrature 3 dB coupler is used to achieve configurability. The proposed coupler allows also to have a high isolation of 58 dB needed for Full Duplex communication. Four patterns configurations are obtained with four combinations. The proposed antenna has 65 MHz bandwidth, 80% efficiency and achieve 4.18 dB of gain.
提出了一种面向5G无线通信系统的全双工可重构方向图系统天线设计方案。所提出的系统是一个MIMO 2 $times$ 2天线,工作在LTE2500频段的中心频率2.622 GHz。采用正交3db耦合器实现可配置性。所提出的耦合器还允许具有58 dB的高隔离,这是全双工通信所需的。通过四种组合得到四种模式配置。该天线带宽为65 MHz,效率为80%,增益为4.18 dB。
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引用次数: 1
Digitalization of Malayalam Palmleaf Manuscripts Based on Contrast-Based Adaptive Binarization and Convolutional Neural Networks 基于对比自适应二值化和卷积神经网络的马来亚拉姆棕叶手稿数字化
D. Sudarsan, Parvathy Vijayakumar, Sharon Biju, Soniya Sanu, Sreelakshmi K. Shivadas
The palm leaf manuscripts are an abundant source of knowledge, tradition and ancient culture. These scriptures are an unavoidable part of our rich culture and have to be preserved in the best possible way. But the information extraction from palm leaf is a tedious task due to various challenges such as noise enormous character set and the difficulty in reading and understanding the ancient Malayalam script. Handwriting recognition in Malayalam is a challenging and emerging area of pattern recognition. Our proposed system aims at extracting information from old palm leaves (thaaliyola) and translating the ancient Malayalam scripts to their current version based on contrast-based adaptive binarization and convolutional neural networks which simplifies the entire process by avoiding feature extraction. The proposed method is different from the conventional methods which require handcrafted features that are used for classification. Initially, the system is trained with a set of characters. This can be expanded to work with the remaining characters as well. The input will be images of Malayalam palmleaf manuscript and the expected output is their translated script. Our system aims to transform these scripts so as to make it accessible and useful to the current generation. The system will be trained using a number of samples to build a convolutional neural network using which the characters will be recognized.
棕榈叶手稿是知识、传统和古代文化的丰富来源。这些经文是我们丰富文化不可避免的一部分,必须以最好的方式保存下来。但是,由于噪音、庞大的字符集以及阅读和理解古代马拉雅拉姆文字的困难等各种挑战,从棕榈叶中提取信息是一项繁琐的任务。马拉雅拉姆语的手写识别是模式识别中一个具有挑战性的新兴领域。我们提出的系统旨在从古棕榈叶(thaaliyola)中提取信息,并基于基于对比度的自适应二值化和卷积神经网络将古马拉雅拉姆文字翻译成当前版本,从而简化了整个过程,避免了特征提取。该方法不同于传统的方法,传统的方法需要手工制作特征来进行分类。最初,系统用一组字符进行训练。这也可以扩展到其他角色。输入将是马拉雅拉姆棕榈叶手稿的图像,预期输出是他们的翻译脚本。我们的系统旨在转换这些脚本,使其易于访问,并对当前一代有用。该系统将使用大量样本进行训练,以建立一个卷积神经网络,使用该网络将识别字符。
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引用次数: 6
Predication of Futures Market by Using Boosting Algorithm 基于Boosting算法的期货市场预测
Yun-peng Wu, Jia-min Mao, Weifeng Li
AdaBoost is a machine learning algorithm based on boosting ideas. AdaBoost is the abbreviation of adaptive boosting, which is an algorithm for weak classifier to assemble as a strong classifier algorithm. There is a lot of data noise in finance market. In order to identify underlying trends in futures market, we propose to use standardized technical indicators to forecast rise or fall and assemble these indicators by AdaBoost algorithm innovatively. We use AdaBoost algorithm to optimize the weight of technical indicators and a good predication result is received. This research shows that these weak classifier can filter data noise in futures market effectively and exhibits that machine learning can get a better analysis result based on the conventional finance engineering analysis methods. This research is meaningful for individual investors.
AdaBoost是一种基于促进想法的机器学习算法。AdaBoost是adaptive boosting的缩写,是一种将弱分类器组装为强分类器的算法。金融市场存在大量的数据噪音。为了识别期货市场的潜在趋势,我们建议使用标准化的技术指标来预测涨跌,并创新地采用AdaBoost算法对这些指标进行组合。采用AdaBoost算法对各技术指标的权重进行优化,得到了较好的预测结果。本研究表明,这些弱分类器可以有效地过滤期货市场中的数据噪声,表明机器学习可以在传统金融工程分析方法的基础上获得更好的分析结果。本研究对个人投资者具有一定的指导意义。
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引用次数: 8
期刊
2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)
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