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Search Results: 1 - 10 of 24063 matches for " Minghu Jiang "
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Cluster Analysis Based on Contextual Features Extraction for Conversational Corpus  [PDF]
Qi Chen, Yue Chen, Minghu Jiang
Journal of Computer and Communications (JCC) , 2015, DOI: 10.4236/jcc.2015.35004
Abstract:

Cluster analysis related to computational linguistics seldom concerned with Pragmatics level. Features of corpus on Pragmatics level related to specific situations, including backgrounds, titles and habits. To improve the accuracy of clustering for conversations collected from international students in Tsinghua University, it required contextual features. Here, we collected four-hundred conversations as a corpus and built it to Vector Space Model. With the Oxford-Duden Dictionary and other methods we modified the model and concluded into three groups. We testified our hypothesis through self-organizing map neural network. The result suggested that the modified model had a better outcome.

Integrative Decomposition Procedure and Kappa Statistics for the Distinguished Single Molecular Network Construction and Analysis
Lin Wang,Ying Sun,Minghu Jiang,Xiguang Zheng
Journal of Biomedicine and Biotechnology , 2009, DOI: 10.1155/2009/726728
Abstract: Our method concentrates on and constructs the distinguished single gene network. An integrated method was proposed based on linear programming and a decomposition procedure with integrated analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering. We tested this method to identify ATF2 regulatory network module using data of 45 samples from the same GEO dataset. The results demonstrate the effectiveness of such integrated way in terms of developing novel prognostic markers and therapeutic targets.
A 1×4 Polymeric Digital Optical Switch Basedon the Thermo-Optic Effect
Tang Yi,Zhang Hao,Yang Jianyi,Wang Minghu,Jiang Xiaoqing
半导体学报 , 2006,
Abstract: 提出了基于热光型聚合物的集成有S弯曲光衰减器的1×4 Y分叉数字光开关. 利用开关与光纤阵列耦合用的S弯曲,将其设计成可变光衰减器,这使得器件更紧凑,并获得低串扰和大分叉角. 在小于200mW的驱动功耗下,器件串扰可低至-35dB.
Optimization of Water Resource Management Using Chooser Option Contracts under Uncertainty  [PDF]
Zhichao Gao, Hong Zhang, Minghu Ha
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.85089
Abstract: Optimization of water resource management is very important to reduce water shortage risk and increase economic benefit. Water option can be used as a flexible instrument in water resource management. In this study, chooser options are designed for water managers to buy additional water in drought periods and sell redundant water in wet periods. To make optimal decisions under uncertainties including probability distributions and intervals, an inexact two-stage mixed-integer programming (ITSMIP) model is applied. To illustrate the role of chooser options in water resource management, a case study is presented. Factors which influence the willingness of buying the chooser options are analyzed and the optimal water allocation plans are also provided. The results demonstrate that chooser options can help water managers mitigate the impact of water shortage and increase utilization efficiency of water resource greatly.
Sparse Representation for Detection of Microcalcification Clusters
Xinsheng Zhang,Minghu Wang
TELKOMNIKA : Indonesian Journal of Electrical Engineering , 2012, DOI: 10.11591/telkomnika.v10i3.616
Abstract: To improve the performance of microcalcification clusters (MCs) detection, we present an approach to detect MCs in mammograms by casting the detection problem as finding sparse representations of test samples with respect to training samples. The ground truth training samples of MCs in mammograms are assumed to be known as a priori. The sparse representation is computed by the l1-regularized least square approach using the interior-point method. The new method based on sparse representation expresses each testing sample as a linear combination of all the training samples. The sparse coefficient vector is obtained by l1-regularized least square through learning. MCs classification is achieved by defining discriminating functions from the sparse coefficient vector for each category. To investigate its performance, the proposed method is applied to DDSM datasets and compared with support vector machines (SVMs) and twin support vector machines (TWSVMs). The experimental results have shown that the performance of the proposed method is comparable with or better than those methods. In addition, the proposed method is more efficient than SVMs and TWSVMs based methods as it has no need of model selection and parameter optimization.
AN EFFICIENT LEARNING ALGORITHM OF NONBALANCED TRAINING SET FOR BP NETWORK
BP网络不平衡训练样本集的有效学习算法

Jiang Minghu,Lin Biqin,Yuan Baozong,Xu Xiaobin,
江铭虎
,林碧琴,袁保宗,许晓斌

电子与信息学报 , 1999,
Abstract: This paper analyzes the reason for low convergence rate of BP network standard backpropagation algorithm to nonblanced training set, researches how to improve the learning algorithm in order to increase training speed, and through two experiments tests and verifies above theory.
Numerical Simulation on Effects of Electromagnetic Force on the Centrifugal Casting Process of High Speed Steel Roll  [PDF]
Minghu Yuan, Leilei Cao, Yaozeng Xu, Xuding Song
Modeling and Numerical Simulation of Material Science (MNSMS) , 2014, DOI: 10.4236/mnsms.2014.41004
Abstract:
A three-dimensional mathematical and physical model coupling with the heat transfer and the flow of molten metal in the centrifugal casting of the high speed steel roll was established by using CFD software FLUENT. It can be used to analyze the distribution of the temperature filed and the flow filed in the centrifugal casting under the gravity, the electromagnetic stirring force and the centrifugal force. Some experiments were carried out to verify the above analysis results. The effects of the electromagnetic force on the centrifugal casting process are discussed. The results showed that under the 0.15 T electromagnetic field intensity, both the absolute pressure of metal flow to mold wall and the metal flow velocity on the same location have some differences between the electromagnetic centrifugal casting and the centrifugal casting. Numerical results for understanding the electromagnetic stirring of the centrifugal casting process have a guiding significance.
Anisotropic Magnetotransport and Exotic Longitudinal Linear Magnetoresistance in WTe2 Crystals
Yanfei Zhao,Haiwen Liu,Jiaqiang Yan,Wei An,Jun Liu,Xi Zhang,Hua Jiang,Qing Li,Yong Wang,Xin-Zheng Li,David Mandrus,X. C. Xie,Minghu Pan,Jian Wang
Physics , 2015, DOI: 10.1103/PhysRevB.92.041104
Abstract: WTe2 semimetal, as a typical layered transition-metal dichalcogenide, has recently attracted much attention due to the extremely large, non-saturating parabolic magnetoresistance in perpendicular field. Here, we report a systematic study of the angular dependence of the magnetoresistance in WTe2 single crystal. The violation of the Kohler rule and a significant anisotropic magnetotransport behavior in different magnetic field directions are observed. Surprisingly, when the applied field is parallel to the tungsten chains of WTe2, an exotic large longitudinal linear magnetoresistance as high as 1200% at 15 T and 2 K is identified. Violation of the Kohler rule in transverse magnetoresistance can be understood based on a dual effect of the excitons formation and thermal activation, while large longitudinal linear magnetoresistance reflects perfectly the scattering and nesting of quasi-1D nature of this balanced hole-electron system. Our work will stimulate studies of such double-carrier correlated material and corresponding quantum physics.
Glutamate and γ-aminobutyric acid receptors and their characteristics in retina
Xiongli Yang,Ying Shen,Minghu Han
Chinese Science Bulletin , 1999, DOI: 10.1007/BF02886091
Abstract: Glutamate and γ-aminobutyric acid (GABA) are important neurotransmitters in the retinal neuronal circuitry. Using the whole-cell patch clamp technique and a rapid solution changer, glutamate and GABA receptors in the retina have been extensively investigated. Results indicate that glutamate receptors on horizontal cells may be an AMPA preferring subtype, which predominantly consists of flop splice variants. GABAA and GABAc receptors coexist in bipolar cells, with the latter showing significant desensitization. Kinetics analysis has demonstrated that the activation, deactivation and desensitization of the GABAc receptor-mediated response of these cells are overall slower than those of the GABAA response. Endogenous modulator Zn2 + in the retina has been found to differentially modulate the kinetic characteristics of the GABAC and GABAA responses.
Correction for hydrometeor attenuation of C band radar data
Minghu Cheng,Rui Shi,Hui Xu
Chinese Science Bulletin , 2000, DOI: 10.1007/BF02886303
Abstract: C band digital weather radar observed data, collected from the Huaihe River Basin Energy and Water Cycle Experiment (HUBEX), are used for the study of correction of hydrometeor attenuation in the Fuyang region. An iterative algorithm is used for the correction scheme. The preliminary study shows that there may be a big difference between the radar observed reflectivity and the corresponding corrected one. Based upon the hourly precipitation data derived by the radar data sampled from the observations at intervals of 10 min and rain gauge recorded hourly precipitation data, it is found that the attenuation correction algorithm gives better results than those from direct observation. It is also shown that the temperature of hydrometeors may strongly affect the results derived from the attenuation algorithm.
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