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Search Results: 1 - 10 of 45816 matches for " Kui Wu "
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Pondering on current research of blood stasis syndrome and its related diseases
Kui-Wu YAO
Zhong Xi Yi Jie He Xue Bao , 2006,
Treatment of β-thalassemia with Bushen Yisui therapy: a randomized controlled trial
Zhi-kui WU
Zhong Xi Yi Jie He Xue Bao , 2007,
Abstract: Objective: To investigate the efficacy and safety of Yisui Shengxue Granule (YSSXG), a compound traditional Chinese herbal medicine, in treating β-thalassemia. Methods: A randomized single-blinded trial was designed. Sixty patients with β-thalassemia were divided into two groups: 30 patients in YSSXG-treated group and 30 in placebo parallel-control group. The patients in the two groups were assigned to receive either YSSXG or placebo for three months. The patients' symptoms and their blood indexes such as hemoglobin (Hb), red blood cell (RBC), reticulocytes (Ret) and fetal hemoglobin (HBF) were examined before and after the treatment. Meanwhile, the liver and spleen were examined with B-mode ultrasound. Results: In the YSSXG-treated group, the blood indexes (Hb, RBC, Ret and HBF) and the symptoms of the patients were improved after three-month treatment, with statistical significance compared to those before treatment (P<0.01); hepatauxe and splenomegaly were also relieved (P<0.05) and no adverse reactions were monitored. In the placebo parallel-control group, no significant improvement of the blood indexes and symptoms, as well as the hepatauxe and splenomegaly had been found (P>0.05). Conclusion: YSSXG demonstrates obvious clinical efficacy and no adverse reactions in treating β-thalassemia.
Continuous Melt Suspension Crystallization of Phosphoric Acid  [PDF]
Aimei Chen, Jiawen Zhu, Bin Wu, Kui Chen, Lijun Ji
Journal of Crystallization Process and Technology (JCPT) , 2012, DOI: 10.4236/jcpt.2012.23014
Abstract: A continuous melt suspension crystallization process has been presented for the purification of the phosphoric acid in this study, which is performed in the cascade of a mixed suspension mixed product removal (MSMPR) crystallizer and a gravity wash column for the subsequent solid-liquid separation. Dynamic behavior in the crystallizer and role of reflux ration on the purification efficiency of column are studied in detail. A reasonable steady state with respect to the liquid phase is achieved after 2 to 3 hrs, which is followed by a solid-phase steady state in terms of the slurry density after 4 hrs. Reflux ratio is the effective parameter for separation and purification by the crystallization equipment from the influences of reflux ratio on the purity of product, the number of theoretical plates and the stability of the operations.
Power Allocation Optimization for Spectrum-Efficient Multi-Pair Two-Way Massive MIMO Full-Duplex Relay over Ricean Channels  [PDF]
Chuangyou Wu, Tong Yue, Kui Xu, Wei Xie
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2017, DOI: 10.4236/ijcns.2017.108B005
In this paper we investigate the power allocation optimization for spectrum efficient multi-pair two-way massive MIMO (TWMM) amplify-and-forward (AF) full-duplex (FD) relay over Ricean fading channels, where multiple user-pairs exchange information within pair through a AF-FD relay with very large number of antennas, while each user equipped with a single antenna. First, the zeroforcing reception/zeroforcing transmission and maximum-ratio combining/maximum ratio transmission processing matrices with imperfect channel state information at the relay are presented. Then, the unified asymptotic signal-to-interference-plus-noise ratio (SINR) expression of the system at general power scaling schemes are investigates. Finally, the joint user-relay power allocation (JURPA) scheme is proposed to improve the spectral efficiency of TWMM-AF-FD relay system. Simulation results show that the proposed JURPA scheme outperforms traditional user-side only power allocation scheme.
On the correction equation of the Jacobi-Davidson method
Gang Wu,Hong-kui Pang
Mathematics , 2015,
Abstract: The Jacobi-Davidson method is one of the most popular approaches for iteratively computing a few eigenvalues and their associated eigenvectors of a large matrix. The key of this method is to expand the search subspace via solving the Jacobi-Davidson correction equation, whose coefficient matrix is singular. It is believed long by scholars that the Jacobi-Davidson correction equation is a consistent linear system. In this work, we point out that the correction equation may have a unique solution or have no solution at all, and we derive a computable necessary and sufficient condition for cheaply judging the existence and uniqueness of solution of the correction equation. Furthermore, we consider the difficulty of stagnation that bothers the Jacobi-Davidson method, and verify that if the Jacobi-Davidson method stagnates, then the corresponding Ritz value is a defective eigenvalue of the projection matrix. We provide a computable necessary and sufficient condition for expanding the search subspace successfully. The properties of the Jacobi-Davidson method with preconditioning and some alternative Jacobi-Davidson correction equations are also discussed.
On the Model Transform in Stochastic Network Calculus
Kui Wu,Yuming Jiang,Jie Li
Computer Science , 2010,
Abstract: Stochastic network calculus requires special care in the search of proper stochastic traffic arrival models and stochastic service models. Tradeoff must be considered between the feasibility for the analysis of performance bounds, the usefulness of performance bounds, and the ease of their numerical calculation. In theory, transform between different traffic arrival models and transform between different service models are possible. Nevertheless, the impact of the model transform on performance bounds has not been thoroughly investigated. This paper is to investigate the effect of the model transform and to provide practical guidance in the model selection in stochastic network calculus.
A Stochastic Calculus for Network Systems with Renewable Energy Sources
Kui Wu,Yuming Jiang,Dimitri Marinakis
Computer Science , 2011,
Abstract: We consider the performance modeling and evaluation of network systems powered with renewable energy sources such as solar and wind energy. Such energy sources largely depend on environmental conditions, which are hard to predict accurately. As such, it may only make sense to require the network systems to support a soft quality of service (QoS) guarantee, i.e., to guarantee a service requirement with a certain high probability. In this paper, we intend to build a solid mathematical foundation to help better understand the stochastic energy constraint and the inherent correlation between QoS and the uncertain energy supply. We utilize a calculus approach to model the cumulative amount of charged energy and the cumulative amount of consumed energy. We derive upper and lower bounds on the remaining energy level based on a stochastic energy charging rate and a stochastic energy discharging rate. By building the bridge between energy consumption and task execution (i.e., service), we study the QoS guarantee under the constraint of uncertain energy sources. We further show how performance bounds can be improved if some strong assumptions can be made.
Fast and Quality-Guaranteed Data Streaming in Resource-Constrained Sensor Networks
Emad Soroush,Kui Wu,Jian Pei
Computer Science , 2008,
Abstract: In many emerging applications, data streams are monitored in a network environment. Due to limited communication bandwidth and other resource constraints, a critical and practical demand is to online compress data streams continuously with quality guarantee. Although many data compression and digital signal processing methods have been developed to reduce data volume, their super-linear time and more-than-constant space complexity prevents them from being applied directly on data streams, particularly over resource-constrained sensor networks. In this paper, we tackle the problem of online quality guaranteed compression of data streams using fast linear approximation (i.e., using line segments to approximate a time series). Technically, we address two versions of the problem which explore quality guarantees in different forms. We develop online algorithms with linear time complexity and constant cost in space. Our algorithms are optimal in the sense they generate the minimum number of segments that approximate a time series with the required quality guarantee. To meet the resource constraints in sensor networks, we also develop a fast algorithm which creates connecting segments with very simple computation. The low cost nature of our methods leads to a unique edge on the applications of massive and fast streaming environment, low bandwidth networks, and heavily constrained nodes in computational power. We implement and evaluate our methods in the application of an acoustic wireless sensor network.
Performance Modeling and Evaluation for Information-Driven Networks
Kui Wu,Yuming Jiang,Guoqiang Hu
Computer Science , 2008,
Abstract: Information-driven networks include a large category of networking systems, where network nodes are aware of information delivered and thus can not only forward data packets but may also perform information processing. In many situations, the quality of service (QoS) in information-driven networks is provisioned with the redundancy in information. Traditional performance models generally adopt evaluation measures suitable for packet-oriented service guarantee, such as packet delay, throughput, and packet loss rate. These performance measures, however, do not align well with the actual need of information-driven networks. New performance measures and models for information-driven networks, despite their importance, have been mainly blank, largely because information processing is clearly application dependent and cannot be easily captured within a generic framework. To fill the vacancy, we present a new performance evaluation framework particularly tailored for information-driven networks, based on the recent development of stochastic network calculus. We analyze the QoS with respect to information delivery and study the scheduling problem with the new performance metrics. Our analytical framework can be used to calculate the network capacity in information delivery and in the meantime to help transmission scheduling for a large body of systems where QoS is stochastically guaranteed with the redundancy in information.
Research on Non-Contact Weak Current Detection Technology  [PDF]
Bo Chen, Sai Wu, Rui Wang, Changlei Liu, Jindong Lu, Kui Deng, Liang Ge
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2018, DOI: 10.4236/jemaa.2018.104005
Abstract: With the continuous development of industrial technology, the weak current plays an increasingly important role in all fields of life. In order to facilitate the user to carry, the study of contactless weak current measurement technology is also emerging. This article’s design idea is based on two-dimensional reluctance sensor device built non-contact weak current detection system. The system uses the reluctance sensor HMC1002 to collect the current signal and the temperature sensor DS18B20 to compensate the temperature. The signals collected by the reluctance sensor and the temperature sensor are extremely weak. After being amplified by the amplifying circuit, the signal is conducive to subsequent detection and processing. Filter circuit can filter out interference signals to achieve the goal of improving accuracy. After the corresponding algorithm of the microcontroller will convert the signal voltage, easy to read and store, thus designing a non-contact current measurement capable of detecting weak currents and achieving higher accuracy.
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