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International Journal of Future Generation Communication and Networking最新文献

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WLAN-WIMAX Scheduler-Based Hybrid Sensor Network for Data Aggregation in Smart Grid 基于WLAN-WIMAX调度器的智能电网数据聚合混合传感器网络
Pub Date : 2019-09-30 DOI: 10.33832/ijfgcn.2019.12.3.02
Rajashree Daryapurkar, R. Karandikar
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引用次数: 0
Wireless Power Transfer Using Inductive Coupling Principle for Portable Charging Devices through Solar Photovoltaic with Auto Switching 基于电感耦合原理的便携式充电设备通过自动切换太阳能光伏的无线电力传输
Pub Date : 2019-09-30 DOI: 10.33832/ijfgcn.2019.12.3.03
S. Laha, P. Sadhu, Ankur Ganguly, A. K. Naskar
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引用次数: 0
Ear Based Human Identification Using a Combination of Wavelets and Multi-Scale Local Binary Pattern 基于小波和多尺度局部二值模式的人耳识别
Pub Date : 2019-09-30 DOI: 10.33832/ijfgcn.2019.12.3.04
P. Srivastava, Diwakar Agarwal, A. Bansal
— Biometric is the technology based on biological traits, which exploits the physical and behavioral characteristics of an individual. Ear biometric has gained immense attention over the last years. Because of its consistent shape and rich texture distribution, it is a reliable biometric for human recognition and identification. This paper presents an approach for ear based human identification using Wavelet transformation and Multi-scale Local Binary Pattern (MLBP). It exploits Haar wavelet decomposition up to fourth level and uniform texture distribution over the circular neighborhood region by varying the scale. Two different distance scores are incorporated for classification, namely, match distance and chi-square statistics. The proposed feature extraction and classification method are performed on IIT Delhi Ear Database, which has ear images acquired from 221 different subjects. The experimental results have shown better performance (in terms of accuracy) by an increment in a number of neighbors. The experimental results have shown better performance with the highest accuracy of 97.70% by an increment in a number of neighbors in MLBP, increasing the number of decomposition levels and also using different classifiers .
—生物识别技术是基于生物特征的技术,它利用了个人的身体和行为特征。耳朵生物识别技术在过去几年中获得了极大的关注。由于其形状一致,纹理分布丰富,是人类识别和识别的可靠生物特征。提出了一种基于小波变换和多尺度局部二值模式(MLBP)的人耳识别方法。该方法利用Haar小波分解达到四阶,通过变换尺度实现图像在圆形邻域的均匀纹理分布。采用两种不同的距离分数进行分类,即匹配距离和卡方统计。在印度理工学院德里耳朵数据库上进行了特征提取和分类,该数据库拥有221个不同受试者的耳朵图像。实验结果表明,随着邻域数量的增加,算法的精度得到了提高。实验结果表明,通过增加MLBP的邻居数、增加分解层次数以及使用不同的分类器,MLBP的分类准确率达到了97.70%。
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引用次数: 3
Mitigation of Interference in Uplink Spectrum by Shifting Handover Boundary in LTE Heterogeneous Networks 基于切换边界的LTE异构网络上行频谱干扰抑制
Pub Date : 2019-09-30 DOI: 10.33832/ijfgcn.2019.12.3.01
M. T. Kawser, Nafiz Imtiaz Bin Hamid
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引用次数: 0
Studies on the Performance Evaluation of Protocols in MANETs using Simulation MANET协议性能仿真评估研究
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.06
N. Thirupathi Rao, G. Sudeepthi, D. Bhattacharyya
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引用次数: 1
A Survey on Haptic Data Over 5G Networks 5G网络触觉数据调查
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.04
Georgios M. Minopoulos, G. Kokkonis, Konstantinos E. Psannis, Y. Ishibashi
Nowadays, the audio and visual modalities are totally defined in terms of communication, computation and data storage on the internet, but what is lacking so far is a methodology to involve the sense of touch. A fundamental part of this is to have the capacity to transmit touch in perceived real-time, which is empowered by suitable hardware, like robotic and haptic equipment at the edges, alongside with unprecedented communication networks. The majority of the unsolved aspects about haptic communication are expected to be covered by the introduction of the next generation mobile network, 5G. The specifications of the fifth generation networks promise such capabilities to allow uninterrupted data transmission of the demanding haptic information in every environment. The most challenging characteristic that need to be addressed is to minimize the latency up to 1 ms in order to achieve successful data delivery. Keywords— Cellular Networks, Fifth Generation, Haptic Data, Mulsemedia, Simulations, Tactile Internet, Trials
如今,音频和视觉模式在互联网上的通信、计算和数据存储方面都得到了完全的定义,但迄今为止缺乏一种涉及触觉的方法。这其中的一个基本部分是具有实时传输触摸的能力,这是由合适的硬件实现的,比如边缘的机器人和触觉设备,以及前所未有的通信网络。下一代移动网络5G的引入有望涵盖触觉通信的大多数未解决方面。第五代网络的规范承诺了这样的能力,以允许在每个环境中不间断地传输要求苛刻的触觉信息。需要解决的最具挑战性的特性是最大限度地减少延迟达1ms,以实现成功的数据传递。关键词——细胞网络,第五代,触觉数据,多Semedia,模拟,触觉互联网,试验
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引用次数: 18
Optimal Forwarder Selection Based on the Fuzzy Topsis MCDM Method in Opportunistic Routing Protocols to Enhance the Performance of the MANET 基于模糊Topsis MCDM方法的机会路由协议转发器优化选择提高MANET性能
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.03
Varsha T. Lokare, P. M. Jadhav
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引用次数: 0
An Adaptive Computational Model for Threshold Based VM Migration and Job Scheduling in Cloud 云环境下基于阈值的虚拟机迁移和作业调度的自适应计算模型
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.01
R. Anitha, C. Vidyaraj
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引用次数: 0
MANET: A Survey on Machine Learning-Based Intrusion Detection Approaches 基于机器学习的入侵检测方法综述
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.05
Safaa Laqtib, K. E. Yassini, M. L. Hasnaoui
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引用次数: 1
Estimation of the Feasibility of Underlay Inband Device-To-Device Communication based on Radio Conditions in LTE LTE中基于无线电条件的底层带内设备对设备通信可行性评估
Pub Date : 2019-06-30 DOI: 10.33832/ijfgcn.2019.12.2.02
M. T. Kawser, Md. Nazrul Islam Siddique, Zunaed Kibria, A. Noman
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引用次数: 0
期刊
International Journal of Future Generation Communication and Networking
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