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Articles by Wang Jing
Total Records ( 5 ) for Wang Jing
  Li Xu-Dong , He Ming-Xing and Wang Jing
  Ternary perfect sequences which include the binary perfect sequences as special cases, are introduced. The new notions of elementary transformations on ternary perfect sequences are brought forward. Necessary conditions for ternary perfect sequences with k zero elements are proposed. It is proved that there exist no ternary perfect sequences of odd lengths with one zero element and no ternary perfect sequences of odd lengths with two zero elements. It is also proved that there exist no ternary perfect sequences of any length with n adjacent zero elements and n is a positive integer which is greater than 1. An efficient search algorithm for ternary perfect sequences is given.
  Wang Jing , Liu Fuhai and Yang Jinzhong
  Winter wheat water use efficiency in the semiarid regions in middle scale was studied in the study, combined with the theory of Water Use Efficiency (WUE) and the reliably officially statistical data. The results indicated that the average WUE for the winter wheat in Hebei province varied from 1.1 to 1.30 kg m-3 and it was much higher than other regions in China.Tangshan city was a region of a highest consuming water and much lower winter wheat yield among the eleven cities in the middle scale. Winter wheat WUE in Handan and Cangzhou were much higher among them, while their consuming water and winter wheat yield were both lower. The consuming water in Baoding was the highest in Hebei province but the winter wheat yield was much lower. And the irrigation water in Shijiazhuang was less than the one in Baoding, its yield was highest among the eleven cities. To obtain higher yield and higher water use efficiency with lower irrigation water, we suggested that the irrigation schedules in Shijiazhuang, Qinghuangdao, Handan and Cangzhou should be referenced so as to optimize and adjust the irrigation schedules in other cities.
  Wei Wei , Wang Jing , Zuo Min and Du Junping
  This paper investigates the chaos control of uncertain unified chaotic systems. Adaptive control approach with three control signals is presented to stabilize states of the uncertain unified chaotic system at the zero equilibrium point. Since an adaptive controller based on dynamic compensation is employed, the faithful model of unified chaotic system is not necessarily required. By choosing proper controller parameters, chaotic phenomenon can be suppressed. In addition, the response speed of the closed-loop system is tunable. Sufficient conditions for the asymptotic stability of the adaptive approach are derived. Numerical simulation results confirm the adaptive control approach with three control inputs is valid in chaos control of uncertain unified chaotic systems.
  Wenjuan Zeng , Haibo Gao and Wang Jing
  The basic and improved algorithms of PSO are focused on how to search effectively the optimalsolution in the solution space by using one of the particle swarm. However, the particles are always chasing the global optimal point and such points are currently found on their way of search, rapidly leading their speed down to zero and hence being restrained in the local minimum. Consequently, there are the convergence or early maturity of particles. The improved PSO is based on the enlightenment of Back-Propagation (BP) neural network while the improvement is similar to the smooth weight through low-pass filter. The test of classical functions show that the PSO provides a promotion in the convergence precision and make better a certain extent in the calculation velocity.
  WANG Jing , ZHOU Qi-Xin , LU Long-Bao , XU Lin and YANG Yue-Xiong
  Depression is a common neuropsychiatric disorder, marked by depressed mood for at least two weeks. The World Health Organization predicts that depression will be the number one leading cause of disease and injury burden by 2030. Clinical treatment faces at least three serious obstacles. First, the disease mechanism is not fully understood and thus there are no effective ways to predict and prevent depression and no biological method of diagnosis. Second, available antidepressants are based on monoamine mechanisms that commonly have a long delay of action and possibly cause a higher risk of suicide. Third, no other antidepressant mechanisms are available, with fast action and few side effects. Unfortunately, several decades of research based on rodent models of depression have not been successful in resolving these problems, at least partially due to the huge differences in brain function between rodents and people. Tree shrews are the closest sister to primates, and brain functions in these species are closer to those of humans. In this review, we discuss a tree shrew model of depression with social defeat etiology and aspects of construct, face and predicted validity of an animal model. Although a tree shrew model of depression has long been ignored and not fully established, its similarities to those aspects of depression in humans may open a new avenue to address this human condition.
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