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Pub Date : 2022-09-01 DOI: 10.1111/socf.12214
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引用次数: 0
RF energy harvesting system from cell towers in 900MHz band 900兆赫波段蜂窝塔射频能量收集系统
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734733
Mahima Arrawatia, M. Baghini, G. Kumar
An experimental RF energy harvesting system to harvest energy from cell towers is presented in this paper. An electromagnetically-coupled square microstrip antenna is designed and fabricated for deployment in the presented system. Antenna gain of 9.1dB and bandwidth from 877 MHz to 998 MHz is achieved. A Schottky diode-based single stage voltage doubler and six-stage voltage doubler has also been designed and fabricated for DC voltage generation. Measured results show that a voltage of 2.78V is obtained at a distance of 10m from the cell tower and a voltage of 0.87V is obtained at a distance of 50m.
本文介绍了一种射频能量收集实验系统,用于收集手机信号塔的能量。设计并制作了一种电磁耦合方形微带天线,用于该系统的部署。天线增益为9.1dB,带宽为877 ~ 998 MHz。设计并制作了基于肖特基二极管的单级倍压器和六级倍压器,用于直流电压的产生。测量结果表明,在距离发射塔10m处电压为2.78V,在距离发射塔50m处电压为0.87V。
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引用次数: 86
Temporal classification of events in cricket videos 板球视频事件的时间分类
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734784
N. Harikrishna, S. Satheesh, S. Sriram, K. S. Easwarakumar
Video search today uses the metadata surrounding the video, ignoring its semantic content. Over the years, a lot of research has gone into indexing and browsing of sports video content. In this work, we present a novel approach for classification of events in cricket videos and thus, summarize its visual content. The proposed method segments a cricket video into shots and identifies the visual content in them. Using sequential pattern mining and support vector machine, we classify the sequence of shots into four events, namely RUN, FOUR, SIX and OUT. The cricket video is then summarized based on user-supplied parameters. The performance of the system has been tested on a number of cricket video clips and was found to have an accuracy of 87.8%.
今天的视频搜索使用围绕视频的元数据,而忽略了其语义内容。多年来,人们对体育视频内容的索引和浏览进行了大量研究。在这项工作中,我们提出了一种新的方法来分类板球视频中的事件,从而总结其视觉内容。该方法将板球视频分割成多个镜头,并识别其中的视觉内容。利用序列模式挖掘和支持向量机技术,将镜头序列划分为RUN、four、SIX和OUT四个事件。然后根据用户提供的参数对板球视频进行总结。该系统的性能已经在许多板球视频片段上进行了测试,发现准确率达到87.8%。
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引用次数: 29
An experimental evaluation of CUBIC TCP in a small buffer regime 小缓冲区CUBIC TCP的实验评价
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734779
Shashank Jain, Gaurav Raina
CUBIC TCP is an enhancement over BIC (Binary Increase Congestion Control) with a cubic window growth function. It has been optimized for high bandwidth-delay product environments and has been the default TCP implementation in Linux since kernel-2.6.18.
CUBIC TCP是对BIC(二进制增加拥塞控制)的改进,具有立方窗口增长函数。它已经针对高带宽延迟产品环境进行了优化,并且自内核2.6.18以来一直是Linux中的默认TCP实现。
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引用次数: 23
Detection of burst onset landmarks in speech using rate of change of spectral moments 利用谱矩变化率检测语音突发事件标志
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734728
A. Jayan, P. S. Rajath Bhat, P. C. Pandey
Burst onset landmarks in the speech signal are transient segments with low energy and their accurate detection is important in applications involving landmark based speech modification, estimation of place of closure for speech training aids, and phoneme recognition. Rate of change measures of energy parameters from spectral bands with fixed boundaries are generally used for landmark detection. The differences in the parameter variation rates and ranges, correlations among them, and their dependencies on speakers, make them less suitable for precise time localization of burst onsets. A method for detection of burst onset landmarks is presented which uses rate of change of spectral moments, in addition to energy parameters of the short-time speech spectrum. Evaluation results indicate that this method can give high detection rates with improved temporal accuracy.
语音信号中的突发标志是低能量的瞬态片段,其准确检测在基于标志的语音修改、语音训练辅助关闭位置估计和音素识别等应用中非常重要。具有固定边界的光谱波段的能量参数变化率测量通常用于地标检测。参数变化率和范围的差异、它们之间的相关性以及它们对说话者的依赖性使得它们不太适合用于突发发作的精确时间定位。提出了一种利用短时语音频谱的能量参数和频谱矩变化率检测突发事件标志的方法。评价结果表明,该方法具有较高的检测率和较好的时间精度。
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引用次数: 9
Unitary precoders for CQI reliability in closed loop MU-MIMO OFDM systems 闭环MU-MIMO OFDM系统中CQI可靠性的统一预编码器
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734730
H. Acharya, S. R. Yerrapareddy, K. Kuchi, B. Ramamurthi
In Multi-userMIMO (MU-MIMO), the Base Station (BS) schedules multiple users simultaneously on the same resources. Closed loop MU-MIMO uses explicit feedback from each of these users for scheduling and allocation of resources. In this scheme, an estimate of the SINR experienced is fed back by each user and is known as the CQI (Channel Quality Information). This CQI is used by the BS for link adaptation to the scheduled users. When Base Stations change their precoders in the next scheduling epoch, interference levels and therefore CQI estimates made previously may no longer be accurate, leading to reduction in system throughput. In this paper, we discuss the benefits of using unitary precoders to reduce this mismatch in CQI and thus improve system performance.
在Multi-userMIMO (MU-MIMO)中,基站(Base Station)在相同的资源上同时调度多个用户。闭环MU-MIMO使用这些用户的显式反馈来调度和分配资源。在这种方案中,每个用户都会反馈所经历的信噪比的估计值,称为CQI(信道质量信息)。该CQI由BS用于对预定用户进行链路调整。当基站在下一个调度周期改变其预编码器时,先前做出的干扰水平和CQI估计可能不再准确,从而导致系统吞吐量降低。在本文中,我们讨论了使用单一预编码器来减少CQI中的这种不匹配,从而提高系统性能的好处。
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引用次数: 0
Significance of speaker information in wideband speech 宽带语音中说话人信息的意义
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734710
G. Pradhan, S. R. Mahadeva Prasanna
In this work, speech signal having information up to 4 kHz is termed as narrowband (NB) speech and the other having information up to 8 kHz is termed as wideband (WB) speech. The objective is to demonstrate the significance of speaker information present in the WB speech. A speaker verification (SV) system is developed using the mel-frequency cepstral coefficients (MFCCs) computed from the WB speech and modeled using Gaussian mixture models (GMM). For comparison, a SV system is also developed from the corresponding NB speech. The experimental results show that the SV performance improves for WB speech and the improvement is significant under degraded conditions. Further, the performance improvement is better for female speakers.
在这项工作中,具有高达4khz信息的语音信号被称为窄带(NB)语音,而具有高达8khz信息的语音信号被称为宽带(WB)语音。目的是证明WB演讲中存在的说话人信息的重要性。利用从WB语音中计算出的mel-frequency倒谱系数(MFCCs),利用高斯混合模型(GMM)建立了说话人验证(SV)系统。为了进行比较,本文还根据相应的NB语音开发了一个SV系统。实验结果表明,WB语音的SV性能得到了改善,并且在退化条件下改善显著。此外,女性演讲者的表现改善更好。
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引用次数: 6
Comparison of features extracted using time-frequency and frequency-time analysis approach for text-independent speaker identification 基于时频分析和频时分析的独立文本说话人识别特征比较
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734720
Nirmalya Sen, T. Basu, S. Chakroborty
This paper compares the feature sets extracted using time-frequency analysis approach and frequency-time analysis approach for text-independent speaker identification. Mel-frequency cepstral coefficient (MFCC) feature set and Inverted Mel-frequency cepstral coefficient (IMFCC) feature set are extracted using time-frequency analysis approach. Temporal energy subband cepstral coefficient (TESBCC) feature set is extracted using frequency time analysis approach. Time-bandwidth product of MFCC filter bank and TESBCC filter bank has been compared. RV coefficient has been used to calculate the correlation between the feature sets. Experimental evaluation was conducted on POLYCOST database with 130 speakers using Gaussian mixture speaker model. The TESBCC feature set has 9.5% higher average accuracy compared to the MFCC feature set. It is found that, the feature set extracted using time-frequency analysis approach is practically uncorrelated with the feature set extracted using frequency-time analysis approach. It is also demonstrated that IMFCC feature set has important role in fusion.
本文比较了时频分析方法和频时分析方法提取的特征集对文本无关说话人识别的影响。采用时频分析方法提取Mel-frequency倒频谱系数(MFCC)特征集和倒Mel-frequency倒频谱系数(IMFCC)特征集。利用频时分析方法提取时间能量子带倒谱系数(TESBCC)特征集。比较了MFCC滤波器组和TESBCC滤波器组的时带宽积。RV系数用于计算特征集之间的相关性。采用高斯混合扬声器模型在POLYCOST数据库上对130个扬声器进行了实验评价。与MFCC特征集相比,TESBCC特征集的平均准确率提高了9.5%。研究发现,使用时频分析法提取的特征集与使用频率时分析法提取的特征集实际上是不相关的。同时也证明了IMFCC特征集在融合中具有重要的作用。
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引用次数: 3
A Vertical Handoff decision scheme for end-to-end QoS in heterogeneous networks: An implementation on a mobile IP testbed 异构网络中端到端QoS的垂直切换决策方案:在移动IP测试平台上的实现
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734759
M. Rafiq, S. Kumar, N. Kammar, G. Prasad, G. K. Garge, S. Anand, M. Hegde
A prominent function of a mobile host is seamless Vertical Handoff (VHO) that ensures application service continuity and quality. VHO decision algorithms that have been proposed in the literature consider parameters such as wireless channel quality (RSSI), cost, channel load, and available bandwidth. The mobile node runs the VHO algorithm autonomously and makes the decision. We highlight the fact that such a local decision can potentially result in a poor end-to-end application level QoS. We present a VHO scheme that takes into account end-to-end QoS as one of the key parameters in addition to other common parameters. We propose an architecture involving an external host based light-weight server (Access Link Utilization Monitor) that disseminates the available end-to-end bandwidth to the mobile node to assist it in making a decision to maintain end-to-end service quality. We describe a fuzzy logic based algorithm that has been used in the handoff decision. We present the results of our implementation on a mobile IP testbed under different realistic scenarios, that include WLAN, WiMAX and 3G access technologies to demonstrate the efficacy of the proposed scheme.
移动主机的一个突出功能是无缝的VHO (Vertical Handoff),保证了应用服务的连续性和质量。文献中提出的VHO决策算法考虑了诸如无线信道质量(RSSI)、成本、信道负载和可用带宽等参数。移动节点自主运行VHO算法并进行决策。我们强调这样一个事实,即这样的本地决策可能会导致糟糕的端到端应用程序级QoS。我们提出了一种将端到端QoS作为关键参数的VHO方案。我们提出了一种架构,该架构涉及一个基于外部主机的轻量级服务器(Access Link Utilization Monitor),该服务器将可用的端到端带宽分发给移动节点,以帮助它做出维持端到端服务质量的决策。我们描述了一种基于模糊逻辑的算法,该算法已用于切换决策。我们在移动IP测试平台上展示了我们在不同现实场景下的实现结果,包括WLAN, WiMAX和3G接入技术,以证明所提出方案的有效性。
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引用次数: 9
Bimodal biometric person authentication using speech and face under degraded condition 退化条件下基于语音和面部的双峰生物识别身份验证
Pub Date : 2011-03-17 DOI: 10.1109/NCC.2011.5734743
S. K. Sahoo, S. Prasanna
In this work, we present a bimodal biometric system using speech and face features and tested its performance under degraded condition. Speaker verification (SV) system is built using Mel-Frequency Cepstral Coefficients (MFCC) followed by delta and delta-delta for feature extraction and Gaussian Mixture Model (GMM) for modeling. A face verification (FV) system is built using the combination of Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). Sum rule is used for the fusion of the biometric scores. The performance of SV system under degraded condition is also checked. All the experimental results are shown upon a subset of IITG-DIT M4 multi-biometric database. The complementary information derived from the speech biometric at training stage is used to further decrease the FV error rate, which is termed as Cohort fed FV system. Finally we propose an improved bimodal person authentication system using SV and Cohort fed FV biometric systems.
在这项工作中,我们提出了一个使用语音和面部特征的双峰生物识别系统,并测试了其在退化条件下的性能。首先利用Mel-Frequency倒谱系数(MFCC)建立说话人验证(SV)系统,然后利用delta和delta-delta进行特征提取,然后利用高斯混合模型(GMM)进行建模。将主成分分析(PCA)和线性判别分析(LDA)相结合,建立了人脸识别系统。采用求和规则对生物特征分数进行融合。并对SV系统在退化条件下的性能进行了校核。所有实验结果显示在iitg - ditm4多生物特征数据库的一个子集上。利用语音生物特征在训练阶段得到的互补信息进一步降低FV错误率,称为队列馈入FV系统。最后,我们提出了一种改进的双峰身份验证系统,使用SV和队列喂养的FV生物识别系统。
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引用次数: 11
期刊
2011 National Conference on Communications (NCC)
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