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Search Results: 1 - 10 of 37021 matches for " Honglin Zhao "
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An improved sparsity estimation variable step-sizematching pursuit algorithm
Zhang Ruoyu, Zhao Honglin
- , 2016, DOI: 10.3969/j.issn.1003-7985.2016.02.006
Abstract: To improve the reconstruction performance of the greedy algorithm for sparse signals, an improved greedy algorithm, called sparsity estimation variable step-size matching pursuit, is proposed. Compared with state-of-the-art greedy algorithms, the proposed algorithm incorporates the restricted isometry property and variable step-size, which is utilized for sparsity estimation and reduces the reconstruction time, respectively. Based on the sparsity estimation, the initial value including sparsity level and support set is computed at the beginning of the reconstruction, which provides preliminary sparsity information for signal reconstruction. Then, the residual and correlation are calculated according to the initial value and the support set is refined at the next iteration associated with variable step-size and backtracking. Finally, the correct support set is obtained when the halting condition is reached and the original signal is reconstructed accurately. The simulation results demonstrate that the proposed algorithm improves the recovery performance and considerably outperforms the existing algorithm in terms of the running time in sparse signal reconstruction.
Spectrum Sensing in Cognitive Radio Based on Adaptive Optimal SVM
Zhuoran Cai,Honglin Zhao,Min Jia
Information Technology Journal , 2011,
Abstract: Cognitive Radio (CR) is an efficient way to solve the problem of the lack of the spectrum resource. In a Cognitive Radio Network the unlicensed users (secondary users) must incessantly monitor the spectrum for the presence of the licensed users (primary users) to avoid the interference to primary users. In this study, a spectrum sensing scheme based on adaptive optimal SVM (support vector machine) is proposed. A prototype system and the simulation experiments show that in low SNR the algorithm can also get a reasonable probability of detection and a low probability of false alarm.
An improving energy efficiency cooperation algorithm based onNash bargaining solution in selfish user cooperative networks
Zhang Chuang, Zhao Honglin, Jia Min
- , 2015, DOI: 10.3969/j.issn.1003-7985.2015.02.004
Abstract: A bandwidth-exchange cooperation algorithm based on the Nash bargaining solution(NBS)is proposed to encourage the selfish users to participate with more cooperation so as to improve the users’ energy efficiency. As a result, two key problems, i.e., when to cooperate and how to cooperate, are solved. For the first problem, a proposed cooperation condition that can decide when to cooperate and guarantee users’ energy efficiency achieved through cooperation is not lower than that achieved without cooperation. For the second problem, the cooperation bandwidth allocations(CBAs)based on the NBS solve the problem how to cooperate when cooperation takes place. Simulation results show that, as the modulation order of quadrature amplitude modulation(QAM)increases, the cooperation between both users only occurs with a large signal-to-noise ratio(SNR). Meanwhile, the energy efficiency decreases as the modulation order increases. Despite all this, the proposed algorithm can obviously improve the energy efficiency measured in bits-per-Joule compared with non-cooperation.
A Modular Spectrum Sensing System Based on PSO-SVM
Zhuoran Cai,Honglin Zhao,Zhutian Yang,Yun Mo
Sensors , 2012, DOI: 10.3390/s121115292
Abstract: In the cognitive radio system, spectrum sensing for detecting the presence of primary users in a licensed spectrum is a fundamental problem. Energy detection is the most popular spectrum sensing scheme used to differentiate the case where the primary user’s signal is present from the case where there is only noise. In fact, the nature of spectrum sensing can be taken as a binary classification problem, and energy detection is a linear classifier. If the signal-to-noise ratio (SNR) of the received signal is low, and the number of received signal samples for sensing is small, the binary classification problem is linearly inseparable. In this situation the performance of energy detection will decrease seriously. In this paper, a novel approach for obtaining a nonlinear threshold based on support vector machine with particle swarm optimization (PSO-SVM) to replace the linear threshold used in traditional energy detection is proposed. Simulations demonstrate that the performance of the proposed algorithm is much better than that of traditional energy detection.
Uptake, translocation, and debromination of polybrominated diphenyl ethers in maize
Moming Zhao,Shuzhen Zhang,Sen Wang,Honglin Huang,
Moming Zhao
,Shuzhen Zhang,Sen Wang,Honglin Huang

环境科学学报(英文版) , 2012,
Abstract: Uptake, translocation and debromination of three polybrominated diphenyl ethers (PBDEs), BDE-28, -47 and -99, in maize were studied in a hydroponic experiment. Roots took up most of the PBDEs in the culture solutions and more highly brominated PBDEs had a stronger uptake capability. PBDEs were detected in the stems and leaves of maize after exposure but rarely detected in the blank control plants. Furthermore, PBDE concentrations decreased from roots to stems and then to leaves, and a very clear decreasing gradient was found in segments upwards along the stem. These altogether provide substantiating evidence for the acropetal translocation of PBDEs in maize. More highly brominated PBDEs were translocated with more difficulty. Radial translocation of PBDEs from nodes to sheath inside maize was also observed. Both acropetal and radial translocations were enhanced at higher transpiration rates, suggesting that PBDE transport was probably driven by the transpiration stream. Debromination of PBDEs occurred in all parts of the maize, and debromination patterns of different parent PBDEs and in different parts of a plant were similar but with some differences. This study for the first time provides direct evidence for the acropetal translocation of PBDEs within plants, elucidates the process of PBDE transport and clarifies the debromination products of PBDEs in maize.
Approximation Schemes for the 3-Partitioning Problems  [PDF]
Jianbo Li, Honglin Ding
Communications and Network (CN) , 2013, DOI: 10.4236/cn.2013.51B021
Abstract: The 3-partitioning problem is to decide whether a given multiset of nonnegative integers can be partitioned into triples that all have the same sum. It is considerably used to prove the strong NP-hardness of many scheduling problems. In this paper, we consider four optimization versions of the 3-partitioning problem, and then present four polynomial time approximation schemes for these problems.
Applications of a Streaming Video Server in a Mobile Phone Live Streaming System  [PDF]
Chongyu Wei, Honglin Zhang
Journal of Software Engineering and Applications (JSEA) , 2014, DOI: 10.4236/jsea.2014.712085
Abstract: This paper describes the entire process of completing a multicast streaming media server and applying it to a cellphone live streaming system. By using the RTSP protocol, the streaming media server controls the connection of video capture client, data stream reception and processing as well as playback interaction. The media server can publish real-time data from a data acquisition terminal or a historical data file in the server to the Web so that users on the network can view all the videos through a variety of terminals anytime and anywhere, without having to wait for all the data downloaded completely. The streaming media server of the system is developed based on an open-source streaming media library Live555. The developed server can run on a Windows or a Linux system. The standard RTSP/RTP protocol is used and the video media format is H264. The paper mainly introduces the design of a streaming media server, including data processing for real time, designing a data source, the implementation of multi-acquisition end and multi-player operation, RTSP interaction and RTP packaging, and the setting up of the data buffer in the server. Experiment results are given to show the effect of the system implementation.
Primary lung lymphoma involving the superior vena cava
Sen Wei, Xin Li, Xiaoming Qiu, Honglin Zhao, Gang Chen, Jun Chen, Qinghua Zhou
World Journal of Surgical Oncology , 2012, DOI: 10.1186/1477-7819-10-131
Monte Carlo Particle Simulation for NDM of GaAs
Monte Carlo微粒模拟法研究GaAs的NDM

Zhao Honglin/Electronic Engineering Dept,Tianjin University,Tianjin,

半导体学报 , 1988,
Abstract: 本文用Monte Carlo 微粒模拟法(Particle Simulation)研究了GaAs中导带电子的负微分迁移率NDM(Negative Differential Mobility).电子的起始状态假设按照麦克斯韦律分布在Γ带中.电子作漂移运动时考虑了极性光学波和声学波的谷内、谷间散射.散射后假设定向速度消失,简化了计算.结果表明和实验值符合良好.也和前人计算结果进行了比较.
Impact of the Spatial Domain Size on the Performance of the Ts-VI Triangle Method in Terrestrial Evapotranspiration?Estimation
Jing Tian,Hongbo Su,Xiaomin Sun,Shaohui Chen,Honglin He,Linjun Zhao
Remote Sensing , 2013, DOI: 10.3390/rs5041998
Abstract: This study aims to investigate the impact of the spatial size of the study domain on the performance of the triangle method using progressively smaller domains and Moderate Resolution Imaging Spectroradiometer (MODIS) observations in the Heihe River basin located in the arid region of northwestern China. Data from 10 clear-sky days during the growing season from April to September 2009 were used. Results show that different dry/wet edges in the surface temperature-vegetation index space directly led to the deviation of evapotranspiration (ET) estimates due to the variation of the spatial domain size. The slope and the intercept of the limiting edges are dependent on the range and the maximum of surface temperature over the spatial domain. The difference of the limiting edges between different domain sizes has little impact on the spatial pattern of ET estimates, with the Pearson correlation coefficient ranging from 0.94 to 1.0 for the 10 pairs of ET estimates at different domain scales. However, it has a larger impact on the degree of discrepancies in ET estimates between different domain sizes, with the maximum of 66 W?m ?2. The largest deviation of ET estimates between different domain sizes was found at the beginning of the growing season.
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