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Search Results: 1 - 10 of 30136 matches for " Jie Tang "
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Heuristics for Production Allocation and Ordering Policies in Multi-Plants with Capacity  [PDF]
Jie Zang, Jiafu Tang
Journal of Service Science and Management (JSSM) , 2010, DOI: 10.4236/jssm.2010.31002
Abstract: Joint decisions in production allocation and ordering policies for single and multiple products in a production-distribution network system consisting of multiple plants are discussed, production capacity constraints of multi-plants and unit production capacity for producing a product are considered. Based on the average total cost in unit time, the decisive model is established. It tries to determine the production cycle length, delivery frequency in a cycle from the warehouse to the retailer and the economic production allocation. The approach hinges on providing an optimized solution to the joint decision model through the heuristics methods. The heuristic algorithms are proposed to solve the single-product joint decision model and the multi-products decision problem. Simulations on different sizes of problems have shown that the heuristics is effective, and in general more effective than Quasi-Newton method (QNM).
A New Method for Reasoning about Action
Tang Jie,

计算机科学技术学报 , 1996,
Abstract: Reasoning about action is an important aspect of common sense reasoning and planning. It gives rise to three classical problems: the frame problem,the qualification problem and the ramification problem. Ekisting approaches cannot deal with these problems efficiently. This paper presents a new method which uses the stratified ATMS for reasoning about action to overcome the limitations of these approaches.
SPOC domain of mint protein induces hematopoietic differentiation via Bmp4/Smad5 pathway  [PDF]
Xianyong Ma, Lin Wang, Jie Tang, Peter Ganins, Jie Li
American Journal of Molecular Biology (AJMB) , 2012, DOI: 10.4236/ajmb.2012.24032
Abstract: Mint is a newly identified molecule that mediates signal transduction and modulates chromatin repression. Mint family members contain a highly conserved C-terminus SPOC domain (SpenParalog and OrthologsC-terminal domain) commonly associated with proliferation and related diseases (for example: cancer) due to its role in cell differentiation and apoptosis. In this study, we addressed the SPOC function using a tetracycline-inducible system to express the target domain in Ain V15 embryonic ES cells and bone marrow stem cells from SPOC transenic mice. In vitro differentiation of Ain V15 ES cells as a model of early hematopoietic development, we found expression of SPOC domain induces hematopoietic differentiation via up-regulation of transcription factors Bmp4 and Smad5, which induce the expression of hematopoietic factors Eklf1 and hematopoietic proliferation associated factor Gata2, the SPOC domain also plays the regulation function in the differentiation of hematopoitic progenitor by colony forming Unit (CFU) assays. Further, we determined SPOC expression enhances erythrocyte and granulocyte maturationusing bone marrow cells derived from tiSPOC chimeric mice. Finally, we identified that overexpression of full length Mint in ES cells drive Smad5 and Bmp4 up-regulation under culture conditions, and up-regulation of endogenous Mint when induceshematopoitic differentiation of EML, M1 and WT18 cells. In summary, our study reveals the conserved SPOC domain of Mint protein induces differentiation both in the stages of embryonic stem cells and hematopoietic progenitor cells.
Optimal Exact Repair Strategy for the Parity Nodes of the $(k+2,k)$ Zigzag Code
Jie Li,Xiaohu Tang
Mathematics , 2015,
Abstract: In this paper, we reinterprets the $(k+2,k)$ Zigzag code in coding matrix and then propose an optimal exact repair strategy for its parity nodes, whose repair disk I/O approaches a lower bound derived in this paper.
Social Network Integration: Towards Constructing the Social Graph
Yutao Zhang,Jie Tang
Computer Science , 2013,
Abstract: In this work, we formulate the problem of social network integration. It takes multiple observed social networks as input and returns an integrated global social graph where each node corresponds to a real person. The key challenge for social network integration is to discover the correspondences or interlinks across different social networks. We engaged an in-depth analysis across three online social networks, AMiner, Linkedin, and Videolectures in order to address what reveals users' social identity, whether the social factors consistent across different social networks and how we can leverage these information to perform integration. We proposed a unified framework for the social network integration task. It crawls data from multiple social networks and further discovers accounts correspond to the same real person from the obtained networks. We use a probabilistic model to determine such correspondence, it incorporates features like the consistency of social status and social ties across different, as well as one-to-one mapping constraint and logical transitivity to jointly make the prediction. Empirical experiments verify the effectiveness of our method.
Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs
Zhilin Yang,Jie Tang
Computer Science , 2015,
Abstract: Understanding the semantics of social networks is important for social mining. However, few works have studied how to bridge the gap between large-scale social networks and abundant collective knowledge. In this work, we study the problem of learning social knowledge graphs, which aims to accurately connect social network vertices to knowledge concepts. We propose a multi-source Bayesian embedding model, GenVector, to jointly incorporate topic models and word/network embeddings. The model leverages large-scale unlabeled data by incorporating the embeddings, and co-represents social network vertices and knowledge concepts in a shared latent topic space. Experiments on three datasets show that our method outperforms state-of-the-art methods. We deploy our algorithm on a large-scale academic social network by linking 39 million researchers to 35 million knowledge concepts, and decrease the error rate by 67% according to online test.
Estimating Linear Mixed-effects State Space Model Based on Disturbance Smoothing
Jie Zhou,Aiping Tang
Statistics , 2014,
Abstract: We extend the linear mixed-effects state model to accommodate the correlated individuals and investigate its parameter and state estimation based on disturbance smoothing in this paper. For parameter estimation, EM and score based algorithms are considered. Intermediate quantity of EM algorithm is investigated firstly from which the explicit recursive formulas for the maximizer of the intermediate quantity are derived out for two given models. As for score based algorithms, explicit formulas for the score vector are achieved from which it is shown that the maximum likelihood estimation is equivalent to moment estimation. For state estimation we advocate it should be carried out without assuming the random effects being known in advance especially when the longitudinal observations are sparse. To this end an algorithm named mixture Kalman filter with kernel smoothing (MKF-KS) is proposed. Numerical studies are carried out to investigate the proposed algorithms which validate the efficacy of the proposed inference approaches.
Parametric Instability Analysis of Deepwater Top-Tensioned Risers Considering Variable Tension Along the Length Parametric Instability Analysis of Deepwater Top-Tensioned Risers Considering Variable Tension Along the Length
ZHANG Jie,TANG Yougang
- , 2015,
Abstract: Parametric instability of a riser is caused by fluctuation of its tension in time due to the heave motion of floating platform. Many studies have tackled the problem of parametric instability of a riser with constant tension. However, tension in the riser actually varies linearly from the top to the bottom due to the effect of gravity. This paper presents the parametric instability analysis of deepwater top-tensioned risers(TTR) considering the linearly varying tension along the length. Firstly, the governing equation of transverse motion of TTR under parametric excitation is established. This equation is reduced to a system of ordinary differential equations by using the Galerkin method. Then the parametric instability of TTR for three calculation models are investigated by applying the Floquet theory. The results show that the natural frequencies of TTR with variable tension are evidently reduced, the parametric instability zones are significantly increased and the maximum allowable amplitude of platform heave is much smaller under the same damping; The nodes and antinodes of mode shape are no longer uniformly distributed along the axial direction and the amplitude also changes with depth, which leads to coupling between the modes. The combination resonance phenomenon occurs as a result of mode coupling, which causes more serious damage
Interfacial Actions and Adherence of an Interpenetrating Polymer Network Thin Film on Aluminum Substrate  [PDF]
Weiwei Cui, Dongyan Tang, Jie Liu, Fan Yang
Journal of Surface Engineered Materials and Advanced Technology (JSEMAT) , 2011, DOI: 10.4236/jsemat.2011.13013
Abstract: The interpenetrating polymer networks (IPN) thin film with the –C=O group in one network and the terminal –N=C=O group in another network on an aluminum substrate to reinforce the adherence between IPN and aluminum through interfacial reactions, were obtained by dip-pulling the pretreated aluminum substrate into the viscous-controlled IPN precursors and by the following thinning treatment to the IPN film to a suitable thickness. The interfacial actions and the adhesion strengths of the IPN on the pretreated aluminum substrate were investigated by the X-ray photoelectron spectroscopy (XPS), Fourier transform infrared spectroscopy (FTIR) and strain-stress(?-?) measurements. The XPS and FTIR detection results indicated that the elements’ contents of N, O, and Al varied from the depths of IPN. The in-terfacial reaction occurred between the –N=C=O group of IPN and the AlO(OH) of pretreated aluminum. The in-creased force constant for –C=O double bond and the lower frequency shift of –C=O stretching vibration absorption peak both verified the formation of hydrogen bond between the –OH group in AlO(OH) and the –C=O group in IPN. The adherence detections indicated that the larger amount of –N=C=O group in the IPN, the higher shear strengths between the IPN thin film and the aluminum substrate.
The Global Behavior of Spacial Spectral Collocation Methods for a Partial Integro-Differential Equation with a Weakly Singular Kernel


系统科学与数学 , 2009,
Abstract: The Laplace transform is introduced to analyze the method of spectral collocation,which is a collocation method at the Gauss-Lobatto quadrature points, for the semidiscretization of a class of linear partial integro-differential equations arising in viscoelasticity problems, for example. The stability and convergence of the space discretization are examined.
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