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International Conference on Wireless and Optical Communications ( WOCC)

作者： Hongzhi Luan Ou Li Xiaoyi Zhang National Digital Switching System Engineering & Technology R&D Center P.R. China

Energy efficiency is an important issue in Cooperative Spectrum Sensing (CSS). In this paper, an energy-efficient Sequential decision Fusion (SdF) scheme based on K-out-of-N rule is proposed. By fusing the received decisions sequentially, Fusion center (FC) may achieve a global decision before receiving all individual decisions. We verify that the performance of CSS using the proposed scheme is completely equal to the conventional CSS where FC adopts all decisions. Average number of decisions required at FC is also investigated. Numerical results show that SdF reduces the average number of decisions required dramatically without any loss in sensing performance.

关键词： Hafnium compounds Sensors Probability radio access networks

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An improved recurrent neural network language model with context vector features

An improved recurrent neural network language model with con...

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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Jian Zhang dan Qu Zhen Li National Digital Switching System Engineering & Technological R&D Center Zhengzhou Henan Province China

ISBN: (纸本)9781479932801

recurrent neural network language models have solved the problems of data sparseness and dimensionality disaster which exist in traditional N-gram models. rNNLMs have recently demonstrated state-of-the-art performance in speech recognition, machine translation and other tasks. In this paper, we improve the model performance by providing contextual word vectors in association with rNNLMs. This method can reinforce the ability of learning long-distance information using vectors training from Skip-gram model. The experimental results show that the proposed method can improve the perplexity performance significantly on Penn Treebank data. And we further apply the models to speech recognition task on the Wall Street Journal corpora, where we achieve obvious improvements in word-error-rate.

关键词： Vectors Context modeling recurrent neural networks Hidden Markov models Neurons Computational modeling Context

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A UWB communication system based on dechirp pulse compression and OOK modulation

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High Technology Letters 2013年第2期19卷 190-196页

作者：赵亮 Jin Liang Huang Kaizhi Zhang Jian Chen Jinyu National Digital Switching System Engineering & Technological R&D Center

In this paper,a novel UWB communication system structure is *** transmitted signal uses OOK modulation and chirp spread *** received signal first goes through a dechirp pulse compression process,and then is processed with a two-level sliding correlation algorithm for coarse timing synchronization and fine timing *** the SNr estimation,the signal is demodulated by an energy detection *** integrated system level simulation model is established,and the performance of this system is evaluated over the AWGN channel,IEEE 802.15.3a CM1 and CM4 *** theoretical analysis and simulation results show that this UWB communication system can effectively reduce the sampling rate and signal processing speed at the receiver,and it is more suitable for long-distance and low-rate UWB communications with high spreading gain.

关键词： uhra wide band （UWB） dechirp pulse compression on-off keying （OOK） sliding correlation BEr

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distributed denial of service attacks detection method based on conditional random fields

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Journal of Networks 2013年第4期8卷 858-865页

作者： Chen, Shi-Wen Wu, Jiang-Xing Ye, Xiao-Long Guo, Tong National Digital Switching System Engineering and Technological R and D Center Zhengzhou China

In order to detect distributed denial of service (ddoS) attacks accurately and efficiently, a new detection model based on conditional random fields (CrF) was proposed. The CrF based model incorporates the signaturebased and anomaly-based detection methods to a hybrid system. The selected features include source IP entropy, destination IP entropy, source port entropy, destination port entropy, protocol number and etc. The CrF based model combines these IP flow entropies and other fingerprints into a normalize entropy as the feature vectors to depict the states of the monitoring traffic. The training method of the detection model uses the L-BFGS algorithm. And the model only needs to inspect the IP header fields of each packet, which makes it possible for real-time implementation even on real time network traffic. The CrF based model may have the ability to detect new form of forthcoming attacks, because it is independent from any specific ddoS flooding attack tools. The experiment results show that the CrF based method has higher detection accuracy and sensitivity as well as lower false positive alarms. Experiment with Kdd CUP1999, dArPA 2000 and generated attack datasets, the CrF based model outperforms other well-known detection methods such as Naïve Bayes, KNN, SVM and etc. The accuracy goes beyond 95.0% and the false alarm rate is less than 5.0%. Meanwhile, the CrF based model is robust under massive background network traffic. © 2013 ACAdEMY PUBLISHEr.

关键词： Entropy

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Network Cost Minimization Leads to r/K-Selection in the Computer Networks

Network Cost Minimization Leads to r/K-Selection in the Comp...

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IEEE Symposium on Computer Applications and Communications (SCAC)

作者： Lin Pang Guozhen Cheng Bing Wu Air Defence Forces Academy Zhengzhou Henan China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

Today's Internet hosts a wide variety of network objects (namely, netOs) like contents, resources and functionalities and so on, which are often decomposed and distributed over the Internet to provide and support network-based services and applications conveniently. However, it is a big challenge to efficient management due to the huge number of existing netOs. Based on our investigations, most existing works that organizing those netOs in the computer network efficiently formulates network utility maximization problems (or network cost minimization). Although some works are effective in the corresponding aspects, the Internet still suffers from inefficiency and ossification. Instead of solving a concrete problem, we make the first attempt to model the numerical evolution of netOs (namely, EvoNetO) to uncover the hidden order of netOs. We prove that the problem of minimizing network cost is equivalent to fastest decay rate or slowest growth rate in the population dynamics. And then we find that the netOs distributed over the network will go to two extreme, i.e., r-strategists and K-strategists under the goal of minimizing network cost for netO placements. This phenomenon exists widely in the computer network.

关键词： Sociology Statistics Internet Computer architecture Computational modeling Eigenvalues and eigenfunctions

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A differential data reporting scheme for cooperative spectrum sensing

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International Journal of Applied Mathematics and Statistics 2013年第22期51卷 351-359页

作者： Wang, Jinghui Jin, Liang National Digital Switching System Engineering and Technological R and D Center Zhenzhou 450002 Henan China

Sharing local sensing data with the fusion center (FC) incurs reporting overhead, and is an important issue in cooperative spectrum sensing (CSS). In order to reduce the average number of reporting bits and thus the overhead, we propose a novel data reporting scheme in this paper. The proposed scheme, known as differential data reporting (ddr) scheme, decides whether a local decision is informative from the viewpoint of transmission and limits the reporting of redundant decision. The sensing performance and reporting overhead for both perfect and imperfect reporting channels are investigated. As shown by numerical results, ddr reduces the reporting overhead significantly, especially when the primary user (PU) traffic changes slowly compared to the sensing period. © 2013 by CESEr Publications.

关键词： Cognitive radio

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A Tri-state-based Partition Approach to reducing Power Consumption of TCAMs

A Tri-state-based Partition Approach to Reducing Power Consu...

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2013 IEEE 4th International Conference on Software engineering and Service Science

作者： Le Tian Shuqiao Chen Haili Li National Digital Switching System Engineering Technological R&D Center

ISBN: (纸本)9781467349970

Ternary Content-Addressable Memories(TCAMs) have become the industrial standard for high-throughput packet *** comparison against all of its entries in parallel within a single memory access makes TCAMs power *** this paper,we propose a new algorithm called TSP-Pr(Tri-statebased Partition for Power reduction).In TSP-Pr,identification bits are dynamically selected to partition a classifier into one general subset and many dedicated *** packet arrives,only one dedicated subset and the general subset are activated for parallel *** makes a great power reduction since the main component of power consumption of TCAMs is proportional to the number of searched *** experimentation shows that the TSP-Pr algorithm proposed in this paper can highly reduce power dissipation with a little penalty of storage overhead.

关键词： packet classification TCAM power reduction Tri-state based Partition

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Efficient FPGA-Based design and realization of Squaring Circuit

Efficient FPGA-Based Design and Realization of Squaring Circ...

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2013 IEEE 4th International Conference on Software engineering and Service Science

作者： Zhihua Yu Xingming Zhang Xingmao Wang Yangyang Gong National Digital Switching System Engineering & Technological R&D Center

ISBN: (纸本)9781467349994

In order to solve the problem of excessive IP(Intellectual Property) usage when calculating large-size squares by using embedded multipliers in FPGA directly,this paper presents an efficient method for square *** proposed method reduces the width of operands by a simple iterative logic circuit,then realizes square calculation combine with the embedded *** a 32-bit square calculation,experimental and simulation results show that the method can get good results only by using one dSP48E with a small amount of logic resources.

关键词： square dSP48E iteration pipetine FPGA

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A New Adaptive Transmission Mode Selection Algorithm in Hybrid Media Stream deliver Network

A New Adaptive Transmission Mode Selection Algorithm in Hybr...

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2013 IEEE 4th International Conference on Software engineering and Service Science

作者： Zhang Xingming Ke Lin Zhang Shijian National Digital Switching System Engineering ＆ Technological R＆D Center

ISBN: (纸本)9781467349970

Because of the problems of the existing transmission mode for streaming media system that could not guarantee the reception quality of the data while keeping the high distribution efficiency,a new adaptive transmission mode selection algorithm is proposed in this *** the algorithm,with a new node state model which divides the node state into data receive quality and consolidated state,the client node selects the transmission mode adaptively based on the existing data buffer model,while the server nodes choose the super nodes to push the data *** simulation results show that this algorithm enhances the distribution efficiency,while the system scalability is improved under the control of the server load.

关键词： streaming media distribution data receive quality consolidated state value transmission mode adaptive selection

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Very Fine-grained Fault-tolerant routing Algorithm of NoC Based on Buffer reuse

Very Fine-grained Fault-tolerant Routing Algorithm of NoC Ba...

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2013 IEEE 4th International Conference on Software engineering and Service Science

作者： Shijian Zhang Guodong Han Fan Zhang National Digital Switching System Engineering & Technological R&D Center

ISBN: (纸本)9781467349994

Fault model is the basis of research on fault-tolerant routing algorithm for Network on Chip(NoC).Since the former fine-grained fault model could not distinguish link faults from channel faults effectively,a much more fine-grained fault model is put forward,and a new fault-tolerant routing algorithm named VFFrA-Br(very fine-grained fault-tolerant routing algorithm based on buffer reuse) is proposed in this paper,to improve the utilization rate of the NoC *** algorithm adopts the transparent transmission mechanism based on buffer reuse(TTBr) to tolerate internal channel faults of *** and synthesis results demonstrate that our algorithm performs better on average throughput,average latency and average hop counts of NoC while keeping a low onchip resources overhead.

关键词： Network on Chip(NoC) fault model fault-tolerant routing buffer reuse transparent transmission

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