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Search Results: 1 - 10 of 127810 matches for " LI Xiaoming "
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Role of Character Strengths and Stress in Psychological Symptoms among Chinese Secondary Vocational School Students  [PDF]
Tingting Li, Xiaoming Liu
Psychology (PSYCH) , 2016, DOI: 10.4236/psych.2016.71007
Abstract: Background: Character strengths are important psychology resources, which affect the academic and social development of students at secondary vocational schools. Purpose: We aimed to clarify the relationship between character strengths, psychological stress, and psychological symptoms among these students from a positive psychological perspective. By focusing on virtues and strengths, we suggest improvements to school education and family upbringing. Sample: A total of 282 secondary vocational school students were recruited. Design and Method: Students were asked to complete the Chinese Virtues Questionnaire, Life Stress Rating Scale, and Symptom Checklist-90. Statistical analyses were conducted using SPSS 19.0. Results: Regression analyses indicated that the interaction between relationship strengths and family stress explained 45% of the variance in psychological symptoms. This study clarified the positive role of character strengths in stressful situations. Thus, helping secondary vocational school students recognize and use their strengths is conducive to improving their health. Conclusion: Our results should also help teachers and parents adopt a strengths perspective, which might encourage students to explore and develop their strengths.
Spectral Imagers with Linear Detector Imager Systems Based on Spectrum Compressed  [PDF]
Xiaoming Zhong, Huang Li, Huang Li
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.32039
Abstract:

Traditional spectral imagers require 2-dimensional detectors. We present a new method to implement spectral imagers with linear detector imager systems based on spectrum compressed. Using 1-dimension detectors instead of 2-dimension detectors to get 3-dimensional data cubes, the spectral imagers could get both the spectral information and the spatial information of each ground object. By the method of characteristics decoupling, we make high precision reconstruction of compressed data. Theoretical analysis and simulations show that it not only ensures the imaging quality but also reduces the dimension of the detectors and complexity of imaging system greatly.

Anti-Icing Method Based on Reducing Voltage of Transmission Lines  [PDF]
Xiaoming LI, Junjie HUANG, Youbin ZHOU
Energy and Power Engineering (EPE) , 2009, DOI: 10.4236/epe.2009.11001
Abstract: The icing of transmission lines threatens the security of power system. This paper proposes a novel anti-icing method based on reducing voltage of the transmission lines. The line voltage can be reduced by regulating the ratio of the transformers which install the both ends of the transmission lines. The line current can be increased and the power loss of the transmission lines can also be increased, which means the heat generated by power loss increases and the icing process of the transmission lines can be restrained. When the icing may occur in the atrocious weather, the anti-icing transformers installed the both ends of transmission line are put into operation. The ratios of transformers are regulated to the appropriate value. The current of transmission line can be increased to the value that is a little greater than the critical current, which can realize the purpose of anti-icing. At the same time, the conditions of normal running in the load side are kept invariably, which can ensure the security of power system. This method can be applicable to a wide range. It's an effective measure to prevent the icing of the transmission lines.
Driving Style Recognition Based on Driver Behavior Questionnaire  [PDF]
Pengfei Li, Jianjun Shi, Xiaoming Liu
Open Journal of Applied Sciences (OJAppS) , 2017, DOI: 10.4236/ojapps.2017.74010
Abstract: The ability to classify driver behavior lays the foundation for more advanced driver assistance systems. The present study aims to research driver pattern and classification feature. Driver behavior self-reported investigation was conducted with standardized driver behavior questionnaire (DBQ) by 225 nonprofessional drivers on the internet in Beijing. Questionnaire’s reliability was verified by statistics analysis. Confirmatory factor analysis (CFA) was used to analyze the underlying factor structure. Speed advantage, space occupation, the contend right of way and the contend space advantage were extracted from the ques-tionnaire results to quantify driver characteristics. Based on fuzzy C-means (FCM) algorithm and taking the four factors as pattern features, the number of driver classification distribution was discussed. Then the number of driver classification was determined by statistical indices. The comparison of classification results with the survey finding on whether the driver occurred in traffic accidents within five years shows that the classification result is the same as the actual driving conditions. Finally, correlation between the demographic and types of driving behavior has been analyzed. Female were more likely than male to careful driving, and the older the driver and the less driving experience, the more careful and moderate driving behavior is.
The Commodity Price and Exchange Rate Dynamics  [PDF]
Liping Zou, Boliang Zheng, Xiaoming Li
Theoretical Economics Letters (TEL) , 2017, DOI: 10.4236/tel.2017.76120
Abstract: This paper investigates the dynamic relationship between the commodity price and the exchange rate in Australia and New Zealand. We focus on Australia and New Zealand. Not only do their primary commodities account for significant shares of their exports, but also their currencies share some distinctive characteristics that are unique from other commodity currencies. Using country-specific commodity price indices, we examine the relationship between the departure of currency value from its fair value and fundamental macroeconomic variables. Evidence of a strong and robust relationship between the exchange rate and the commodity price has been found. Results indicate that the commodity price can be used to improve the forecast ability of the future exchange rate. Our commodity-price-augmented exchange rate forecasting model consistently outperforms the random-walk model, for both in-sample and out-of-sample forecasting. These results shed some extra lights on policymaking for countries that rely on primary commodity production, and attempt to move towards floating exchange rate regimes as part of their global market liberalization process.
An Experience in Teaching Parallel Programming
讲授并行程序设计课程的一次实验

Li Xiaoming,
李晓明

计算机科学 , 1995,
Abstract: Parallel Programming,as a selective graduate course,was first offered in Harbin Institute of Technology in the fall semester of 1994. The design .implementation,and feedback of the course is discussed in this article. It is believed that the time has come for an experiment supported paral-lel programming course offered in our universities.
A commend on "Three Classes of Newtonian Three-Body Planar Periodic Orbits" by ?uvakov and Dmitra?inovi? (PRL, 2013)
Xiaoming Li,Shijun Liao
Physics , 2013, DOI: 10.1007/s11433-014-5563-5
Abstract: Currently, the fifteen new periodic solutions of Newtonian three-body problem with equal mass were reported by \v{S}uvakov and Dmitra\v{s}inovi\'{c} (PRL, 2013) [1]. However, using a reliable numerical approach (namely the Clean Numerical Simulation, CNS) that is based on the arbitrary-order Taylor series method and data in arbitrary-digit precision, it is found that at least seven of them greatly depart from the periodic orbits after a long enough interval of time. Therefore, the reported initial conditions of at least seven of the fifteen orbits reported by \v{S}uvakov and Dmitra\v{s}inovi\'{c} [1] are not accurate enough to predict periodic orbits. Besides, it is found that these seven orbits are unstable.
On the inherent self-excited macroscopic randomness of chaotic three-body system
Shijun Liao,Xiaoming Li
Physics , 2014, DOI: 10.1142/S0218127415300232
Abstract: What is the origin of macroscopic randomness (uncertainty)? This is one of the most fundamental open questions for human being. In this paper, 10000 samples of reliable (convergent), multiple-scale (from 1.0E-60 to 100) numerical simulations of a chaotic three-body system indicate that, without any external disturbance, the microscopic inherent uncertainty (in the level of 1.0E-60) due to physical fluctuation of initial positions of the three-body system enlarges exponentially into macroscopic randomness (at the level O(1)) until t=T*, the so-called physical limit time of prediction, but propagates algebraically thereafter when accurate prediction of orbit is impossible. Note that these 10000 samples use micro-level, inherent physical fluctuations of initial position, which have nothing to do with human being. Especially, the differences of these 10000 fluctuations are mathematically so small (in the level of 1.0E-60) that they are physically the SAME since a distance shorter than a Planck length does not make physical senses according to the spring theory. It indicates that the macroscopic randomness of the chaotic three-body system is self-excited, say, without any external force or disturbances, from the inherent micro-level uncertainty. This provides us the new concept "self-excited macroscopic randomness (uncertainty)". In addition, it is found that, without any external disturbance, the chaotic three-body system might randomly disrupt with the symmetry-breaking at t=1000 in about 25% probability, which provides us the new concepts "self-excited random disruption", "self-excited random escape" and "self-excited symmetry breaking" of the chaotic three-body system. It suggests that a chaotic three-body system might randomly evolve by itself, without any external forces or disturbance.
On the length of Golomb Ruler: A function construction approach based on difference triangle
Yanqing Wang,Xiaoming Li
Mathematics , 2014,
Abstract: Since the significance of Golomb Ruler Problem in some context, we proposes a function construction approach based on difference triangle to generate near-optimal Golomb rulers. Let x1, x2, ..., xn be an increasing sequence of integers, where x1 = 0, which satisfies the following conditions: if abs(xi-xj) = abs(xp-xq) then {i, j} = {p,q}. Our objective is to find the order of minimum xn for any given n. In this paper, the two results in a paper are both improved. In addition, it will be shown that the length of Golomb Ruler have been shortened to a half, and that the satisfying sequence can not be generated by such a quadratic formula as $xi = ai^2+bni+ci+dn^2+en+f$ for any rational a, b, c, d, e and f.
Preprint Virtual Reality Assistant Technology for Learning Primary Geography
Zhihan Lv,Xiaoming Li
Computer Science , 2015,
Abstract: This is the preprint version of our paper on ICWL2015. A virtual reality based enhanced technology for learning primary geography is proposed, which synthesizes several latest information technologies including virtual reality(VR), 3D geographical information system(GIS), 3D visualization and multimodal human-computer-interaction (HCI). The main functions of the proposed system are introduced, i.e. Buffer analysis, Overlay analysis, Space convex hull calculation, Space convex decomposition, 3D topology analysis and 3D space intersection detection. The multimodal technologies are employed in the system to enhance the immersive perception of the users.
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