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5th International Conference on Environmental Science and Information Application technology, ESIAT 2014

作者： Wan, Mingxiang Ren, Chunshao Zhang, Dengyin Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunication Ministry of Education Nanjing China Sci-tech Park of Internet of Things Nanjing University of Posts and Telecommunication Nanjing210003 China

ISBN: (纸本)9781138028142

B+ Tree is a special balanced multiway tree with flexible structure and node pages linking to each other. It supports not only rapid random query, but also range query. But B+ Tree index cannot be directly migrated since data storage architecture is different in cloud environment. Based on the characteristics of cloud computing master-slave architecture and combined with the characteristics of the columnar storage in the cloud environment, this paper proposes an improved secondary index of B+ Tree. In this index, primary key still uses key-Value style hash index, which can not only get high search efficiency, but also maintain load balance;other property columns will apply improved B+ Tree index, which can solve the problem of high time complexity when querying non-primary key and also support range query of non-primary key property. © 2015 Taylor & Francis Group, London.

关键词： Flexible structures

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Co-whitening of i-vectors for short and long duration speaker verification 19

Co-whitening of i-vectors for short and long duration speake...

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19th Annual Conference of the International Speech Communication, INTERSPEECH 2018

作者： Xu, Longting Lee, Kong Aik Li, Haizhou Yang, Zhen Department of Electrical and Computer Engineering National University of Singapore Singapore Data Science Research Laboratories NEC Corporation Japan Broadband Wireless Communication and Sensor Network Technology Key Lab Nanjing University of Posts and Telecommunications China

An i-vector is a fixed-length and low-rank representation of a speech utterance. It has been used extensively in text-independent speaker verification. Ideally, speech utterances from the same speaker would map to an unique i-vector. However, this is not the case due to some intrinsic and extrinsic factors like physical condition of the speaker, channel difference, noise and notably the duration of speech utterances. In particular, we found that i-vectors extracted from short utterances exhibit larger variance than that of long utterances. To address the problem, we propose a co-whitening approach, taking into account the duration, while maximizing the correlation between the i-vectors of short and long duration. The proposed co-whitening method was derived based on canonical correlation analysis (CCA). Experimental results on NIST SRE 2010 show that co-whitening method is effective in compensating the duration mismatch, leading to a reduction of up to 13.07% in equal error rate (EER). © 2018 International Speech Communication Association. All rights reserved.

关键词： Vectors

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Power control with interference limit in femtocell

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Journal of Computational Information Systems 2012年第18期8卷 7425-7432页

作者： Pei, Xiaozhen Zhu, Qi Jiangsu Key Lab of Wireless Communications Key Lab on Wideband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

In this paper the problem that how to improve the users' performance at downlink in OFDMA system and adjust the femtocell transmit power based on game theory to achieve the target of improving the femtocell users' throughput and satisfying the macro cell user's interference limit requirement is discussed. We propose a new utility function based on game theory with introducing the factor about the macro cell use's interference limit. The new utility function represents not only the performance of the femtocell user but also the macro cell user's performance. It is found that the new power control algorithm is better by simulation. © 2012 Binary Information Press.

关键词： Power control

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Deep Learning Empowered Real-Time Haptic communications for IoT

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IEEE Transactions on Consumer Electronics 2024年

作者： Zhang, Xuguang Chen, Mingkai Nanjing University of Posts and Telecommunications School of Communications and Information Engineering Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing210003 China

The advancement of the Internet of Things (IoT) has enabled a variety of innovative consumer electronics applications. In particular, multi-modal applications integrating audio, video, and haptic interactions have emerged, offering users more immersive experiences and enhanced remote interaction capabilities. However, the distributed and fragmented nature of IoT network resources presents significant challenges for ensuring haptic communications under strict constraints. To address these challenges, this paper proposes a joint coding and network resource scheduling solution for haptic communications in IoT environments. First, we design a scalable and flexible haptic coding scheme that supports efficient and seamless haptic streaming across heterogeneous IoT networks. Second, we introduce a deep learning-based imperceptible Quality of Experience (QoE) recognition method, which uses emotional immersion as an evaluation metric to achieve unobtrusive QoE monitoring. Finally, based on user QoE feedback, we develop an on-demand cooperative network resource scheduling strategy to ensure high QoE, reduce network resource wastage, and optimize the utilization of fragmented IoT resources. Simulation results validate the effectiveness of the proposed architecture and strategies. © 1975-2011 IEEE.

关键词： network coding

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The Proof is in the Pudding: Decision-Oriented Machine-Type wireless Video Transmission

The Proof is in the Pudding: Decision-Oriented Machine-Type ...

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2024 IEEE Global communications Conference, GLOBECOM 2024

作者： Song, Jie Gao, Yun Wu, Dan Zhou, Liang Qian, Yi Nanjing University of Posts and Telecommunications Ministry of Education Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing China Army Engineering University of Pla Institute of Communications Engineering Nanjing China University of Nebraska-Lincoln Department of Electrical and Computer Engineering Lincoln United States

ISBN: (纸本)9798350351255

With the rise of the Internet of Everything, machine-type wireless video applications like intelligent surveillance are increasingly becoming mainstream network services. However, the massive transmission of video streams heavily burdens wireless networks. Existing methods typically establish a correlation between the transmitted content and the quality of experience or service, making it challenging to balance trade-offs among decision quality, bandwidth utilization, and latency requirements. To address this issue fundamentally, this paper proposes a novel perspective by designing wireless video transmission strategies from the angle of decision quality, where only the content that impacts the decision outcomes is transmitted. The highlight of this paper is designing a lightweight yet efficient binary classifier that predicts whether the current content will change decision outcomes based on content discrepancies, measured only through pixel-level differences and macroblock-level similarity. Furthermore, these discrepancies can be used to distinguish the background, thereby further saving bandwidth by reusing the background information. Additionally, a fine-tuning module is incorporated to flexibly update the classifier model, ensuring adaptability across various scenarios. Extensive results demonstrate that the proposed strategy achieves over 81% redundant bandwidth savings while maintaining decision quality and catering to strict latency requirements on computation-constrained devices. © 2024 IEEE.

关键词： Television transmission

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An Improved Comentropy-based Multi-objective Optimization Algorithm

An Improved Comentropy-based Multi-objective Optimization Al...

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第23届过程控制会议

作者： Kun Wang Linlin Wang Yan Liu Yuhua Zhang Huang Guo Yue Yu Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Pos College of automation and electrical engineering Nanjing University of Technology Nanjing 210009 Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Pos

To solve the increasing run-time complexity with the growth of population solutions in PESA, an evolutionary algorithm of multi-objective optimization, we present a comentropy- based PESA algorithm (C-PESA). With this algorithm, the gradual development and maturity of the solution sets can be observed with the continuous calculation of entropy values to determine whether to stop the optimization process or not, which reduces the run-time complexity to some extent. Simulation results show that the computational effort of C-PESA increases at a linear order with the increasing number of solutions, and the efficiency of evolutionary algorithm shows improvement.

关键词： PESA algorithm comentropy multi-objective optimization evolutionary algorithm Pareto-optimal run-time complexity

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Distributed cooperative spectrum sensing based on consensus among reliable secondary users

Distributed cooperative spectrum sensing based on consensus ...

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International Conference on wireless communications and Signal Processing, WCSP 2015

作者： Wei, Ji Haixi, Cao Zhen, Yang College of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China

ISBN: (纸本)9781467376860

Cooperative spectrum sensing (CSS) is a key technology to improve the sensing performance. Fully distributed CSS has been applied in cognitive radio ad hoc networks with good detection performance. However, when the number of secondary users (SUs) is large and the range of cognitive radio network is wide, sensing overheads (e.g., time and energy consumption) will increase correspondingly. Meanwhile, the reliability of SUs will potentially influence the detection performance. In this paper, a fully decentralized cooperative spectrum sensing scheme based on consensus theory among reliable SUs is proposed. Firstly, belief vector is used for distinguishing the reliable SUs from the unreliables. Secondly, the sub network with most reliable SUs is chose as reliable region, in which sensing information of reliable SUs can be exchanged among their one-hop neighbors with finite iterations based on consensus theory. Lastly, SUs in consensus network will get a consensus sensing outcome which will be shared with SUs outside of consensus network. The proposed scheme does not need the prior knowledge of primary user in the entire process. Simulation results show that the proposed scheme has better detection performance than traditional methods. © 2015 IEEE.

关键词： Energy utilization

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A new side information estimate based Distributed Video Coding algorithm for wireless multimedia sensor networks

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International Journal of Advancements in Computing technology 2012年第1期4卷 320-326页

作者： Xiao, Fu Liu, Jinkai Sun, Lijuan Wang, Ruchuan Nanjing University of Posts and Telecommunications China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education China

Video compression can reduce the amount of data information for wireless multimedia sensor networks(WMSNs). Compared with the traditional video coding algorithms, big gap existed in coding performance for Distributed Video Coding (DVC). In order to improve the efficiency of side information estimation, a novel hash-based side information estimation algorithm is proposed in this paper. For the regions of the Wyner-Ziv frame which cannot coding and decoding accurately, Discrete Cosine Transform (DCT) low-frequency coefficients of DCT is extracted according to the criteria of ROI for entropy coding. Then decoded DCT low-frequency coefficients for bidirectional hash motion estimation is utilized by decoder, which enables the decoder to choose between past and future reference frames for frame interpolation to generate best side information. Experimental results show that our proposed algorithm can gain more accurate motion estimation in the intense motion region. The algorithm can also reduce the rate, improve the quality of decoded image, and decrease the energy consumption of sensor nodes ultimately, which is important for WMSNs.

关键词： Discrete cosine transforms

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Price and customer satisfaction based access control scheme

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Journal of Computational Information Systems 2014年第5期10卷 1893-1902页

作者： Zhang, Dengyin Wang, Xuemei Li, Dacheng Key Lab. of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing 210003 China

To solve the fairness problem in user access of mobile communication systems, we proposed an access control scheme based on price and customer satisfaction (PSAC) in this paper. In the scheme, we borrow Cobb-Douglas ordinal utility model to designate a price function which changes with the current system load and service transmission rate, and evaluate customer satisfaction according to waiting time and allocated bandwidth. The system accepts requests in the descending order of these requests' access probability, the calculation of which depends on price and customer satisfaction. Simulation results show that the PSAC algorithm we proposed can achieve high resource utilization, enhance the overall revenue, and ensure the fairness of the user access. © 2014 Binary Information Press.

关键词： Customer satisfaction

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A General Framework for Intelligent IoT Data Acquisition and Sharing in an Untrusted Environment Based on Blockchain

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China communications 2024年第3期21卷 137-148页

作者： Lu Yin Xue Yongtao Li Qingyuan Wu Luocheng Li Taosen Yang Peipei Zhu Hongbo College of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of EducationNanjing 210003China Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and TelecommunicationsNanjing 210003China Research Institute of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China Bell Honors School Nanjing University of Posts and TelecommunicationsNanjing 210023China School of Automation Nanjing University of Posts and TelecommunicationsNanjing 210023China

Traditional Io T systems suffer from high equipment management costs and difficulty in trustworthy data sharing caused by *** provides a feasible research direction to solve these problems. The main challenge at this stage is to integrate the blockchain from the resourceconstrained Io T devices and ensure the data of Io T system is credible. We provide a general framework for intelligent Io T data acquisition and sharing in an untrusted environment based on the blockchain, where gateways become Oracles. A distributed Oracle network based on Byzantine Fault Tolerant algorithm is used to provide trusted data for the blockchain to make intelligent Io T data trustworthy. An aggregation contract is deployed to collect data from various Oracle and share the credible data to all on-chain users. We also propose a gateway data aggregation scheme based on the REST API event publishing/subscribing mechanism which uses SQL to achieve flexible data aggregation. The experimental results show that the proposed scheme can alleviate the problem of limited performance of Io T equipment, make data reliable, and meet the diverse data needs on the chain.

关键词： blockchain data sharing Internet of Things Oracle

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