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Search Results: 1 - 10 of 29467 matches for " ZHU XiaoDong "
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Characteristics ofUvigerina in the Northwestern Indian Ocean: Paleo-environmental implications
Xiaodong Zhu
Chinese Science Bulletin , 2001, DOI: 10.1007/BF03187250
Abstract: Coretop sediment samples covering water depth from 247 to 1474 m in the Northwestern Indian Ocean were analyzed. 6 species ofUvigerina among 77 species and 11 species-complexes were found in all 26 samples. They areUvigerina auberiana d’Orbigny,Uvigerina hispida Schwager,Uvigerina peregrina Cushman,Uvigerina proboscidea Schwager,Uvigerina spinicostata Cushman and Jarvis, andUvigerina sp. Characteristics ofUvigerina are (1) high abundance due to rich food supply and less competitors; (2) low diversity because only those eurytopic / opportunistic forms can survive environment of low dissolved oxygen value; (3) various test shapes and ornamentations which are controlled by respiration or gas exchange of the cell; and (4) abundance ofUvigerina is well related with environmental factors such as water depth, oxygen content and productivity or food supply. TheseUvigerina species can be used as paleo-environmental proxy of low oxygen and rich organic matter supply related to high-surface productivity upwelling caused by Indian monsoons. Analysis ofUvigerina in Hole 723B of ODP Leg 117 showed that upwelling was intensified 9, 18, 50, 100, 200, 240, 340, 440, 480, 600 and 700 ka ago, which implies the increasing in global changes effect from the uplift of the Tibetan Plateau.
Teaching Adaptability of Object-oriented Programming Language Curriculum
Xiaodong Zhu
International Education Studies , 2012, DOI: 10.5539/ies.v5n4p237
Abstract: The evolution of object-oriented programming languages includes update of their own versions, update of development environments, and reform of new languages upon old languages. In this paper, the evolution analysis of object-oriented programming languages is presented in term of the characters and development. The notion of adaptive teaching upon object-oriented programming language curriculum is proposed. Many principles and strategies of adaptive teaching are expatiated in detail. An online scoring platform for learning object-oriented programming languages is also introduced finally.
A Simple Algorithm for Solving for the Generalized Longest Common Subsequence (LCS) Problem with a Substring Exclusion Constraint
Daxin Zhu,Xiaodong Wang
Algorithms , 2013, DOI: 10.3390/a6030485
Abstract: This paper studies the string-excluding (STR-EC)-constrained longest common subsequence (LCS) problem, a generalized LCS problem. For the two input sequences, X and Y , of lengths n andmand a constraint string, P, of length r, the goal is to find the longest common subsequence, Z, of X and Y that excludes P as a substring. The problem and its solution were first proposed by Chen and Chao, but we found that their algorithm cannot solve the problem correctly. A new dynamic programming solution for the STR-EC-LCS problem is then presented in this paper, and the correctness of the new algorithm is proven. The time complexity of the new algorithm is O(nmr).
The metric space of geodesic laminations on a surface II: small surfaces
Francis Bonahon,Xiaodong Zhu
Mathematics , 2003,
Abstract: We continue our investigation of the space of geodesic laminations on a surface, endowed with the Hausdorff topology. We determine the topology of this space for the once-punctured torus and the 4-times-punctured sphere. For these two surfaces, we also compute the Hausdorff dimension of the space of geodesic laminations, when it is endowed with the natural metric which, for small distances, is -1 over the logarithm of the Hausdorff metric. The key ingredient is an estimate of the Hausdorff metric between two simple closed geodesics in terms of their respective slopes.
The metric space of geodesic laminations on a surface: I
Xiaodong Zhu,Francis Bonahon
Mathematics , 2003, DOI: 10.2140/gt.2004.8.539
Abstract: We consider the space of geodesic laminations on a surface, endowed with the Hausdorff metric d_H and with a variation of this metric called the d_log metric. We compute and/or estimate the Hausdorff dimensions of these two metrics. We also relate these two metrics to another metric which is combinatorially defined in terms of train tracks.
Template Matching for Profile Measurement Based on Levenberg-Marquardt Algorithm  [PDF]
Qingxia Xu, Xiaodong Chai, Shubin Zheng, Wenfa Zhu, Lei Zhang
American Journal of Industrial and Business Management (AJIBM) , 2014, DOI: 10.4236/ajibm.2014.47045

This paper proposes the Levenberg-Marquardt algorithm to solve the problem of a big error while matching the measurement profile with the template profile. In order to achieve more accurate matching result, error function of the two profiles should be structured firstly. And the next step is optimizing the parameters of transform matrix of error function. To be specific, the error is about the corresponding point distance, and optimization parameters are the rotation variables and the translation variables of the transformation matrix. The experimental result of the system shows that using the method of template matching for profile measurement based on Levenberg-Marquardt algorithm is feasible.

A De-Noising Method for Track State Detection Signal Based on EMD  [PDF]
Liming Li, Xiaodong Chai, Shubin Zheng, Wenfa Zhu
Journal of Signal and Information Processing (JSIP) , 2014, DOI: 10.4236/jsip.2014.54013
Abstract: In the track irregularity detection, the acceleration signals of the inertial measurement unit (IMU) output which with low frequency components and noise, this paper studied a de-noising algorithm. Based on the criterion of consecutive mean square error, a de-noising method for IMU acceleration signals based on empirical mode decomposition (EMD) was proposed. This method can divide the intrinsic mode functions (IMFs) derived from EMD into signal dominant modes and noise dominant modes, then the modes reflecting the important structures of a signal were combined together to form partially reconstructed de-noised signal. Simulations were conducted for simulated signals and a real IMU acceleration signals using this method. Experimental results indicate that this method can efficiently and adaptively remove noise, and this method can better meet the precision requirement.
A De-Noising Method for Track State Detection Signal Based on the Statistical Characteristic of Noise  [PDF]
Liming Li, Xiaodong Chai, Shubin Zheng, Wenfa Zhu
Journal of Transportation Technologies (JTTs) , 2014, DOI: 10.4236/jtts.2014.44029
Abstract: Based on the statistical characteristics analysis of random noise power and autocorrelation function, this paper proposes a de-noising method for track state detection signal by using Empirical Mode Decomposition (EMD). This method is used to noise reduction refactoring for the first Intrinsic Mode Function (IMF) component in accordance with the “random sort-accumulation-average-refactoring\" order. Signal autocorrelation function characteristics are used to determine the cut-off point of the dominant mode. This method was applied to test signals and the actual inertial unit signals; the experimental results show that the method can effectively remove the noise and better meet the precision requirement.
Security Assessment of Distribution System with Distributed Photovoltaic  [PDF]
Weiping Zhu, Zhicheng Wang, Xiaodong Yuan, Ruonan Fan
Journal of Power and Energy Engineering (JPEE) , 2015, DOI: 10.4236/jpee.2015.34034

In order to evaluate the safe and stable operation of distribution network with the distributed photovoltaic (PV), the?security of distribution network is researched. On the basis of electricity supply security, voltage quality and network losses,?the index system of static security is established. The paper simulates the uncertainty and random characteristics of PV by OpenDSS. The typical scenes that PV accessed to the distribution network are designed.?The paper summarizes the results of voltage fluctuation and network losses and uses indices to quantify it under different scenes. Based on the index system, the paper proposes some recommendations on PV permeability, interconnected locations, dispersion degrees and power factors when the distributed PV accessed to the distribution network.

Alcoholic and Non-Alcoholic Marchiafava-Bignami Disease: A Comparative Study  [PDF]
Xiaodong Chen, Yuanwei Wang, Ying Wang, Daoming Tong, Baolin Zhu
Neuroscience & Medicine (NM) , 2016, DOI: 10.4236/nm.2016.73011
Abstract: Purpose: Marchiafava-Bignami Disease (MBD) is a rare condition mainly associated with alcoholism, although a few non-alcoholic cases have been reported. We performed a comparative study of demographic and clinical differences between alcoholic and non-alcoholic and assessed whether any treatment can be recommended. Methods: We reviewed 157 reports containing data on 168 subjects with Alcoholic MBD (AMBD) and 23 subjects with Non-Alcoholic MBD (NAMBD). The following data were extracted: demographic characteristics; delay from the onset of symptoms to admission; MRI features; location of the corpus callosum lesions; the presence of Wernicke’s disease; drug treatment (thiamine, other vitamins and steroids); outcome. Results: The subjects with AMBD were more frequently men (84.5% vs 47.8, P = 0.000); the ones with AMBD were frequently reported as suffering from malnutrition (81.3% vs 50%, P = 0.019), whereas the NAMBD was frequently reported as suffering from diabetes mellitus (30.4% vs 7.1%, P = 0.002). The lesions in the NAMBD are often located in the splenium (47.8%), whereas single splenial lesions are seen only in 18.7% of the AMBD. 43.5% (10/23) of the NAMBD was reported to have recovered completely, whereas only 15.4% (24/156) AMBD showed a complete recovery. Conclusions: It is important to diagnose NAMBD in the early stage with MRI and to treat the symptoms with thiamine and/or corticosteroids according to aetiology. We recommend prompt treatment of MBD with parenteral thiamine in subjects associated with malnutrition, anorexia nervosa and prolonged vomiting, and reduction of food intake. Corticosteroids may aid in recovery by reducing oedema in subjects associated with diabetes mellitus.
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