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Dynamic Behavior Analysis of a Class of Neurons Network Model
Kaijun Wu,Hesheng Shi,Huaiwei Lu,Yazhou Shan 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.2
A mathematical model of neurons network cells was studied. Firstly the study conducted numerical calculation by the C language program, and then simulated drawings with the grapher to analyze the model's complex dynamic conduct under different control parameters in the change interval of bifurcation parameter. Period-adding bifurcation and period doubling bifurcation must exist in the graph of ISI for different control parameters. As the external electric fields join in, the dynamic conduct of neuron model will change under corresponding parameters. The research results indicate external electric fields can change the discharge range of the model, which is helpful to explore the influence of external electric field on the excitability of biological neural system and pathogenic mechanism of neural system disease.
Kaijun Yuan,Erjun Wu,Ning Dong 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.5
To meet the requirements of highly efficient force transmission, easy operation and low damage in RC column underpinning engineering, a new underpinning joint with prestressed U-shaped steel bars was proposed. Static testing of seven specimens was carried out, and the number of the U-shaped steel bars, their arrangement and the pre-pressure acting on the joint were considered as the main parameters. The results demonstrated that the U-shaped steel bars might greatly increase the load-bearing capacity of the underpinning joint, and the more the number, the higher the capacity; the arrangement of the U-shaped steel bars also had a significant effect on the load-bearing capacity. Two pairs of the U-shaped steel bars arranged on the opposite sides of the column was better than that arranged on four sides. And the horizontal part of the UsSBs embedded in the column grooves was better than in the underpinning beams; the pre-pressure could effectively improve the sliding stiffness of the underpinning joint, while the effects on the load-bearing capacity was not obvious. Based on the curve of load-displacement, force process of the underpinning joint was divided into four phases: no slip, initial slip, interfacial slip expansion and punch slip, consequently a constitutive force-slip model was constructed. As a result, a simple mechanical model of the underpinning joint was established, and the calculation formula for the load-bearing capacity of the new joint was proposed. Finally, the engineering design expression was prepared according to the characteristics of the real underpinning project.
Tiaotiao Du,Kaijun Wu,Tiejun Wang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.12
Location problem of multi-distribution center is a kind of NP hard problem. To solve such problems, this paper proposes a chaos adaptive mutation particle swarm optimization algorithm. The algorithm uses the ergodic property of chaos to initialize the particle swarm to enhance the diversity of the population, according to the variance of population fitness to adjust the probability of mutation, and adjust the inertia weight factor to improve the global and local search capability of the whole population. In this paper, the algorithm is applied to the location problem of multi-distribution center, established the multi-factor constraints of mathematical model which aiming at timeliness, and on this basis, the corresponding algorithm is designed. It can be seen from the location instance simulation results that the optimization results and efficiency of the adaptive mutation particle swarm optimization algorithm is better than the genetic algorithm and the standard particle swarm optimization algorithm.
Effect of pH on Types of Acidogenic Fermentation of Fruit and Vegetable Wastes
Mingxia Zheng,Mingyue Zheng,Yuanyuan Wu,Hailing Ma,Kaijun Wang 한국생물공학회 2015 Biotechnology and Bioprocess Engineering Vol.20 No.2
The effect of pH (4.0, 5.0, and 6.0) on acidification and fermentation of fruit and vegetable wastes was investigated using batch and semi-continuous experiments under mesophilic condition. Results showed that fermentation types change with pH variation. The pH of acidification system containing fruit and vegetable wastes could automatically decrease to 3.0 ~ 4.0. At this pH range, a stable ethanol production was observed, at which ethanol-type fermentation was obtained. Based on the results, the fermentation types were classified into ethanol-type, mixed acid-type, propionic acid-type, and butyric acid-type fermentations, which occurred at pH 4.0 ~ 4.5, 4.5 ~ 5.0, 5.0 ~ 5.5, and 5.5 ~ 6.5, respectively.