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Wang X.,Yulin University
Journal of Computational and Theoretical Nanoscience | Year: 2016

Considering the complicated and changeable topographic features in unstructured environment, a transformable wheel-legged robot (YLRT-I) was designed by combing characteristics of wheel-based and leg-based travel mechanisms, aiming to meet high mechanic operating requirements in complex terrains. 6DOF leg moving structure, wheel moving structure and the transformation structure of YLRT-I were designed. Kinetic models of these two basic moving modes (leg and wheel) as well as the transformation process were established. Key numerical values of all moving modes were calculated in the inverse kinematics analysis. Experimental results showed that YLRT-I not only can move in legs and wheels and accomplish transformation, but also has strong environmental adaptation, indicating that the robot is designed reasonable and feasible. © 2016 American Scientific Publishers All rights reserved.


Han Z.-P.,Yulin University | Li Y.,Soochow University of China
Inorganic Chemistry Communications | Year: 2012

A complex of composition [Cu I 4Cu II(mtpo) 4(H 2O) 2Cl 2] n (1) was synthesized from reaction of Hmtpo (Hmtpo = 5-methyl-[l,2,4]-triazolo-[l,5-a]- pyrimidin-7-o1) with one equivalent of CuCl 2·2H 2O in water at 100 °C under autogenous pressure. Complex 1 was fully characterized by X-ray single crystal diffraction, elemental analysis and IR spectroscopy. X-ray analysis reveals that complex 1 is a mixed-valence coordination polymer and displays 1-D chain structure. Compound 1 was able to heterogeneously catalyze the ketalization reaction of 2-butanone and ethylene glycol to afford 2-ethyl-2-methyl-[1,3]-dioxolane in excellent yield under mild conditions. © 2012 Elsevier B.V. All rights reserved.


News Article | October 26, 2016
Site: www.newscientist.com

In a few years’ time, that wonderfully soft cashmere sweater you buy could come from gene-edited goats. A team in China has created goats that produce a third more cashmere than normal goats. The birth of the kids, at the Shanbei Cashmere Goat Farm of Yulin University in China, was reported last year. The team used the CRISPR gene-editing technique to disable the FGF5 gene, which limits hair growth, in the Shanbei cashmere breed of goats. FGF5 controls hair length in a wide variety of animals, including people. For instance, a few people have abnormally long eyelashes – a condition called trichomegaly – due to mutations in the gene. The long hair of some breeds of animals, such as Pembroke Welsh corgis, is also due to similar mutations. Now that the goats are older, the team has studied six of them in detail. As hoped, disabling FGF5 increased the length both of the coarse outer hair and the finer inner hair. It is this fine undercoat that is used to make cashmere wool, highly prized for its softness. Crucially, this inner hair was no thicker than normal – the thinness of the fibres is the key to their desirable properties. The team has already managed to breed the goats. “The offspring of the edited goats are four months old, and growing normally,” says team member Xiaolong Wang of Northwest A& F University in Yangling. If the project succeeds in producing lots of high-yielding cashmere goats, some of China’s cashmere – it’s the world’s largest producer – could soon come from gene-edited goats. It’s not clear if cashmere from these animals will be kept separate or treated any differently from normal cashmere, but there is no obvious reason why it should be. Creators of gene-edited plants and animals – such as hornless cattle – argue that when gene editing is used to introduce mutations that already occur naturally, the resulting breeds should not be subject to the regulations that apply to genetically modified organisms. Regulators in the US appear to agree but the European Union has delayed making a decision for nearly a decade. Read more: Hornless cattle will herald a gene-editing revolution on farms


Qiao R.,Yulin University
Chemical Engineering Transactions | Year: 2016

The basis for the image algorithm is the Discrete Cosine Transform (DCT) which extracts spatial frequency information from the spatial amplitude samples. In this paper, an image compression k-means clustering algorithm based on block-based discrete cosine transform to compress computer desktop image is proposed. It divides computer screen image into 16×16 non-overlapping blocks, then each block is classified into text/graphic block, hybrid block or picture block. For text/graphic blocks with rich color, a color clustering algorithm is used to reduce the number of colors, text/graphic block is coded by lossless compression and hybrid block is coded by hybrid coding method. Experimental results indicated that the image by our proposed algorithm has higher Peak Signal to Noise Ratio (PSNR) and Structural Similarity (SSIM) than traditional algorithms. Copyright © 2016, AIDIC Servizi S.r.l.


Xiong W.,Yulin University
International Journal on Smart Sensing and Intelligent Systems | Year: 2016

According to bionics and simplified octopus structure, this paper designed a universal mobile quadruped robot and adopted Denavit-Hartenberg system to analyze the single leg kinematics of a robot, obtaining its kinematics equation. Also, through the method of separating variables, this paper solved its inverse kinematics and got the joint angle. A walking gait is planned and the joint angle of vertical pendulum stance phase and swing phase of the robot in walking are calculated. MATLAB is used to simulate the relevant joint angles of the robot, so as to analyze its movement change. Experimental results further verified the universal motion of robots.


Xiao-yan J.,Yulin University
Journal of Convergence Information Technology | Year: 2012

In order to overcome the shortage of ε-insensitive loss, Gaussian loss function is selected as the loss function of support vector regression algorithm.Here, electrical load prediction based on the hybrid model of Gaussian support vector regression algorithm and embedded PSO is presented in this paper.The embedded particle swarm optimization algorithm is applied to determine the parameters of Gaussian support vector regression algorithm. Finally, experimental study for electrical load prediction based on the hybrid model of Gaussian support vector regression algorithm and embedded PSO is performed to show the effectiveness of the hybrid model of Gaussian support vector regression algorithm and embedded PSO. The experimental results demonstrate that the hybrid model of Gaussian support vector regression algorithm and embedded PSO has a higher electrical load prediction accuracy than support vector regression algorithm.


Li H.,Yulin University | Gu K.,Southern Illinois University at Edwardsville
Automatica | Year: 2010

Many practical systems have a large number of state variables, but only a few components involve time delays. These components are often scalar or low dimensional, and typically only one delay is present in each such component. A special form of coupled differential-difference equations with one delay per channel proposed recently is well suited to formulate such systems. This article extends the discretized Lyapunov-Krasovskii functional method to this class of systems. In addition to generality, this formulation also drastically reduces the computational cost for a typical system, and therefore is appropriate to use even for time-delay systems of retarded type. The discretized formulation is also simpler than the previous formulation for systems with multiple delays. © 2010 Elsevier Ltd. All rights reserved.


The bound state solitons have been observed in the passively mode-locked fiber laser. The spectra are modulated due to interaction of the pulses per round trip. Two bound states have an equal shoulder as seen from the autocorrelation trace and three bound states have the two pairs of shoulder in the autocorrelation trace. The numerical results confirm the experimental results. The unstable soliton pairs can also be observed in the experiments. The pulse pairs with strong strength in the cavity can be potentially applied in the optical communication systems. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).


Li H.,Yulin University
International Journal of Robust and Nonlinear Control | Year: 2012

Time-delay systems described by coupled differential-functional equations include as special cases many types of time-delay systems and coupled differential-difference systems with time delays. This article discusses the discretized Lyapunov-Krasovskii functional (LKF) method for the stability problem of coupled differential-difference equations with multiple discrete and distributed delays. Through independently dividing every delay region that the plane regions consists in two delays to discretize LKF, the exponential stability conditions for coupled systems with multiple discrete and distributed delays are established based on a linear matrix inequality (LMI). The numerical examples show that the analysis limit of delay bound in which the systems are stable may be approached by our result. © 2011 John Wiley & Sons, Ltd.


Jing H.,Yulin University
Journal of Computational and Theoretical Nanoscience | Year: 2016

With the development of power electronics technology, computer technology, automatic control technology and the upgrading of power electronic devices, the alternating current speed control drive has entered the age of competing with the direct current speed control drive and inhabiting the dominant status gradually. Intelligent control technology can effectively solve some problems which are difficult to be solved by a few traditional control methods. And the fuzzy control is a hot spot of the research and application in the fuzzy control. The fuzzy PID compound intelligent control is formed by combining the fuzzy control and the PID control. Then the advantages of fuzzy control and PID control are integrated respectively so as to make the speed control system to have better follow property and robustness which adapts the change of parameters then to achieve the speed control with high precision. The compound self optimization control strategy is put forward in this paper to achieve the compound intelligent vector control system based on the fuzzy-PID. Copyright © 2016 American Scientific Publishers. All rights reserved.

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