Background Elymus sibiricus is an important native grass in Qinghai-Tibetan Plateau. Seed shattering is a serious problem for E. sibiricus, especially at harvest time. Cross breeding is an effective way to create new varieties with beneficial characteristic or improved traits, and to broaden genetic base. Results In this study, we created five hybrid populations by crossing seven E. sibiricus...

In this paper, through numerical studies, we explore a new methodology for chaos synchronization via a hybrid (generalized plus identical) synchronization. An arbitrary signal, generated by an unknown dynamical system, can be synchronized by the hybrid chaotic system. The signal can then be stored for future application such as password and message identification. Each finite-length signal can,...

Normally, most of the mechanical devices arrive with unnecessary nonlinearities. In servo system, the frequency domain system identification method is very difficult because of the presence of unnecessary nonlinearities. In the paper, hybrid technique is proposed for the frequency domain identification of servo system. The proposed hybrid technique is the combination of artificial neural networ...

We propose an algebraic geometric solution to the identification of a class of linear hybrid systems. We show that the identification of the model parameters can be decoupled from the inference of the hybrid state and the switching mechanism generating the transitions, hence we do not constraint the switches to be separated by a minimum dwell time. The decoupling is obtained from the so-called ...

An important step in plant breeding programs is identification of parents that are geneticallydistant from each other, to find crossing combinations with better prospects of hybrid vigor. Thepotential of identifying genetically distant parents depends on genetic diversity of population. 58 linesof rice from diverse origins have been employed to study genetic variation in order to identify themo...

Recently, the relationship among individual pedestrian images and pairwise have become attractive for person re-identification (re-ID) as they effectively improve ability of feature representation. In this paper, we propose a novel method named Hybrid Relationship Network (HRNet) to learn two types relationships in unified framework that makes use their own advantages. Specifically, images, tak...

We present a novel identification framework that enables the use of first-order methods when estimating model parameters near a periodic orbit of a hybrid dynamical system. The proposed method reduces the space of initial conditions to a smooth manifold that contains the hybrid dynamics near the periodic orbit while maintaining the parametric dependence of the original hybrid model. First-order...