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Search Results: 1 - 10 of 44382 matches for " Zhiyuan Wu "
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Application of Integrated Reorganization of Science Specimen Data Using Kettle  [PDF]
Zhiyuan Wu, Yang Mei
Intelligent Information Management (IIM) , 2019, DOI: 10.4236/iim.2019.111002
Abstract: Standards and specifications are the premise of integrated reorganization of science specimen data, and data integration is the core of the reorganization. ETL [1] which is the abbreviation of extract, transform, and load [2], is very suitable for data integration. Kettle is a kind of ETL software. In this paper, it has been introduced into the integrated reorganization of science specimen data. Multi-source and heterogeneous specimen data are integrated using kettle, and good results have been achieved. It proved the effectiveness of kettle in the integrated reorganization of science specimen data. The application has practical significance, and the method can be referenced when reorganizing other resource data.
Screening of Bioactive Compounds from Moutan Cortex and Their Anti-Inflammatory Activities in Rat Synoviocytes
Mengjie Wu,Zhiyuan Gu
Evidence-Based Complementary and Alternative Medicine , 2009, DOI: 10.1093/ecam/nem066
Abstract: Moutan Cortex, a widely used traditional Chinese medicine for the treatment of various diseases, is the root bark of Paeonia suffruticosa Andrews (Paeoniaceae). Most of the pharmacological investigations of Moutan Cortex have been addressed to its central nervous system activities, anti-oxidative and sedative actions. Otherwise, there are few reports about the active compounds with anti-inflammatory activity of Moutan Cortex. The aim of the present study was to screen and identify bioactive compounds with anti-inflammatory effect from Moutan Cortex. With the aid of preparative high performance liquid chromatography (HPLC) technique, ethyl acetate and ethanol extract of Moutan Cortex were isolated into twenty-two fractions. Bioactivities of these fractions were evaluated by measuring expression of tumor necrosis factor-α (TNF-α) in rat synoviocytes subjected to interleukin-1β (IL-1β). Eight compounds were isolated from six active fractions and identified by HPLC/MSn. Purified compounds, paeoniflorin, paeonol and pentagalloylglucose resulted in dose-dependent inhibition of TNF-α synthesis and IL-6 production in synoviocytes treated with proinflammatory mediator. These results suggested that paeonol, paeoniflorin, glycosides and pentagalloylglucose contribute to the anti-inflammatory effect of Moutan Cortex.
Reduced-Complexity Decoder of Long Reed-Solomon Codes Based on Composite Cyclotomic Fourier Transforms
Xuebin Wu,Zhiyuan Yan
Mathematics , 2011, DOI: 10.1109/TSP.2012.2192435
Abstract: Long Reed-Solomon (RS) codes are desirable for digital communication and storage systems due to their improved error performance, but the high computational complexity of their decoders is a key obstacle to their adoption in practice. As discrete Fourier transforms (DFTs) can evaluate a polynomial at multiple points, efficient DFT algorithms are promising in reducing the computational complexities of syndrome based decoders for long RS codes. In this paper, we first propose partial composite cyclotomic Fourier transforms (CCFTs) and then devise syndrome based decoders for long RS codes over large finite fields based on partial CCFTs. The new decoders based on partial CCFTs achieve a significant saving of computational complexities for long RS codes. Since partial CCFTs have modular and regular structures, the new decoders are suitable for hardware implementations. To further verify and demonstrate the advantages of partial CCFTs, we implement in hardware the syndrome computation block for a $(2720, 2550)$ shortened RS code over GF$(2^{12})$. In comparison to previous results based on Horner's rule, our hardware implementation not only has a smaller gate count, but also achieves much higher throughputs.
Computational Complexity of Cyclotomic Fast Fourier Transforms over Characteristic-2 Fields
Xuebin Wu,Zhiyuan Yan
Mathematics , 2011,
Abstract: Cyclotomic fast Fourier transforms (CFFTs) are efficient implementations of discrete Fourier transforms over finite fields, which have widespread applications in cryptography and error control codes. They are of great interest because of their low multiplicative and overall complexities. However, their advantages are shown by inspection in the literature, and there is no asymptotic computational complexity analysis for CFFTs. Their high additive complexity also incurs difficulties in hardware implementations. In this paper, we derive the bounds for the multiplicative and additive complexities of CFFTs, respectively. Our results confirm that CFFTs have the smallest multiplicative complexities among all known algorithms while their additive complexities render them asymptotically suboptimal. However, CFFTs remain valuable as they have the smallest overall complexities for most practical lengths. Our additive complexity analysis also leads to a structured addition network, which not only has low complexity but also is suitable for hardware implementations.
Intermittent Geocast Routing in Urban Vehicular Delay Tolerant Networks
Zhiyuan Li,Panpan Wu
- , 2016, DOI: 10.1109/TST.2016.7787006
Abstract: Nowadays, both vehicular active safety service and user infotainment service have become two core applications for urban Vehicular Delay Tolerant Networks (uVDTNs). Both core applications require a high data transmission capacity over uVDTNs. In addition, the connection between any two vehicles in uVDTNs is intermittent and opportunistic. Intermittent data dissemination over uVDTNs is a stringent and challenging issue. In this paper, we propose Intermittent Geocast Routing (IGR). For the first step, IGR has to estimate the active connection time interval via the moving directions and velocities between any two vehicles. Second, the throughput function for uVDTNs is fitted by building a wavelet neural network traffic model. Third, the throughput function within the effective connection time interval is integrated to obtain the forwarding capability estimation of the node. Fourth, a high-efficiency geocast routing algorithm using the node forwarding capability for uVDTNs is designed. Finally, IGR is simulated on the opportunistic Network Environment simulator. Experimental results show that IGR can greatly improve the packet delivery ratio, transmission delay, delay jitter, and packet loss rate compared with the state of the art.
A Security Routing Algorithm of P2P Network Based on Multiple Encryption and Positive Detection
Lu Chuiwei,Wu Honghua,Liu Zhiyuan
Research Journal of Applied Sciences, Engineering and Technology , 2013,
Abstract: Routing plays a fundamental role in the P2P network. Most attacks are aiming at P2P routing. We proposed a novel security routing algorithm to fight against those attacks. The algorithm adopt the means of multiple encryption and positive detection and periodically detect each node in routing path using encryption packet, which can accurately find malicious or instable nodes in routing path and exclude them from routing table. Simulation experiments also demonstrate the algorithm can effectively enhance the routing security and reliability of P2P network.
New Crosstalk Avoidance Codes Based on a Novel Pattern Classification
Feng Shi,Xuebin Wu,Zhiyuan Yan
Mathematics , 2012,
Abstract: The crosstalk delay associated with global on-chip interconnects becomes more severe in deep submicron technology, and hence can greatly affect the overall system performance. Based on a delay model proposed by Sotiriadis et al., transition patterns over a bus can be classified according to their delays. Using this classification, crosstalk avoidance codes (CACs) have been proposed to alleviate the crosstalk delays by restricting the transition patterns on a bus. In this paper, we first propose a new classification of transition patterns, and then devise a new family of CACs based on this classification. In comparison to the previous classification, our classification has more classes and the delays of its classes do not overlap, both leading to more accurate control of delays. Our new family of CACs includes some previously proposed codes as well as new codes with reduced delays and improved throughput. Thus, this new family of crosstalk avoidance codes provides a wider variety of tradeoffs between bus delay and efficiency. Finally, since our analytical approach to the classification and CACs treats the technology-dependent parameters as variables, our approach can be easily adapted to a wide variety of technology.
Capacity and Performance of Adaptive MIMO System Based on Beam-Nulling
Mabruk Gheryani,Zhiyuan Wu,Yousef R. Shayan
Mathematics , 2008,
Abstract: In this paper, we propose a scheme called "beam-nulling" for MIMO adaptation. In the beam-nulling scheme, the eigenvector of the weakest subchannel is fed back and then signals are sent over a generated subspace orthogonal to the weakest subchannel. Theoretical analysis and numerical results show that the capacity of beam-nulling is closed to the optimal water-filling at medium SNR. Additionally, signal-to-interference-plus-noise ratio (SINR) of MMSE receiver is derived for beam-nulling. Then the paper presents the associated average bit-error rate (BER) of beam-nulling numerically which is verified by simulation. Simulation results are also provided to compare beam-nulling with beamforming. To improve performance further, beam-nulling is concatenated with linear dispersion code. Simulation results are also provided to compare the concatenated beam-nulling scheme with the beamforming scheme at the same data rate. Additionally, the existing beamforming and new proposed beam-nulling can be extended if more than one eigenvector is available at the transmitter. The new extended schemes are called multi-dimensional (MD) beamforming and MD beam-nulling. Theoretical analysis and numerical results in terms of capacity are also provided to evaluate the new extended schemes. Simulation results show that the MD scheme with LDC can outperform the MD scheme with STBC significantly when the data rate is high.
Improved Analytical Delay Models for RC-Coupled Interconnects
Feng Shi,Xuebin Wu,Zhiyuan Yan
Computer Science , 2013,
Abstract: As the process technologies scale into deep submicron region, crosstalk delay is becoming increasingly severe, especially for global on-chip buses. To cope with this problem, accurate delay models of coupled interconnects are needed. In particular, delay models based on analytical approaches are desirable, because they not only are largely transparent to technology, but also explicitly establish the connections between delays of coupled interconnects and transition patterns, thereby enabling crosstalk alleviating techniques such as crosstalk avoidance codes (CACs). Unfortunately, existing analytical delay models, such as the widely cited model in [1], have limited accuracy and do not account for loading capacitance. In this paper, we propose analytical delay models for coupled interconnects that address these disadvantages. By accounting for more wires and eschewing the Elmore delay, our delay models achieve better accuracy than the model in [1].
Near infrared electrochromic variable optical attenuator based on ruthenium complex and polycrystalline tungsten oxide
Zhang Jidong,Wu Xianguo,Yu Hongan,Yan Donghang,Wang Zhiyuan
Chinese Science Bulletin , 2005, DOI: 10.1007/BF02899636
Abstract: A near infrared (NIR) electrochromic attenuator based on a dinuclear ruthenium complex and polycrystalline tungsten oxide was fabricated and characterized. The results show that the use of the NIR-absorbing ruthenium complex as a counter electrode material can improve the device performance. By replacing the visible electrochromic ferrocene with the NIR-absorbing ruthenium complex, the optical attenuation at 1550 nm was enhanced from 19.1 to 30.0 dB and color efficiency also increased from 29.2 to 121.2 cm2/C.
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