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CARC: A Reliable Routing Mechanism for Cognitive Ad Hoc Networks
Qian Zhao,Guangsheng Feng,Chen Zheng 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.6
In cognitive radio Ad Hoc networks, the events of node failure and link failure maybe happen frequently, especially the primary users will access the authorized channel whenever possible. In order to maintain the connection between cognitive users and resume their communication as soon as possible when the current route is invalid, a reliable routing mechanism CARC is proposed, which employs primary and candidate route to communicate under differential cases. Meanwhile, how to choose candidate route, maintain or rebuild route are also elaborated. Numerical simulations show that the proposed CARC protocol has a higher performance compared with other typical protocols.
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Reactive Power-Voltage Integrated Control Method Based on MCR
Dan Chen,Xiaosheng Huang,Guangsheng Li,Yi Wei,Wenjun Zeng,Chuihua Tian,Huan Shi,Hua Ye 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
In power system, the voltage pulsation and deficiency or surplus of reactive power will have a great effect on the quality of electric power supply. Dynamicly local reactive power compensation is one of the best methods to reduce the power network loss and improve the efficiency of transmission and distribution.Through the effective methods of compensation, we can keep the balance of reactive power in the maximum degree by the maintenance of acceptable voltage. This paper firstly describes the principles of synthetic compensation of reactive power and voltage then analyzes the principle of magnetically controlled reactor-MCR in detail and derives the characteristics, secondly analyses the disadvantages of the conventional reactive power compensation devices and the advantages of MCR, thirdly on this basis designs a control strategy of reactive power and voltage which is based on MCR,so as to achieve the goal of dynamic reactive power compensation. At the end of paper, simulator and experimental research are carried out for the model of compensation method; the results accord with the theoretical analyses done before. So the compensation method is proved to be accurate in theory and feasible in practice.
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Taijun Jiang,Guangsheng Zeng,Can Hu,Cong Meng,Yi Chen 한국섬유공학회 2021 Fibers and polymers Vol.22 No.4
Polypropylene melt-blown fabric as the core filter materials plays an important role in manufacturing civil andmedical epidemic prevention products. The aim of this study was to optimize and control the particle filtration efficiency andapparent surface quality of the melt-blown fabric from the perspectives of electret masterbatch composition and processingparameters. Magnesium stearate and fumed silica were used as the electret to manufacture polypropylene melt-blown fabric. The layout and charge voltage of the electret device was taken as the variables to optimize and improve the particle filtrationefficiency and bulkiness coefficient of the fabric. The temperature of the barrel and die was controlled to enhance the surfacequality and corresponding particle filtration efficiency. The results showed that a combination of organic magnesium stearateand inorganic fumed silica could obtain a balance between particle filtration efficiency and smooth processing without beingjammed. Increasing the charge voltage and rearranging the position of the charge wires could significantly enhance theparticle filtration efficiency. A better particle filtration efficiency and reasonable bulkiness coefficient could be obtained bycontrolling the diameter of the filaments by regulating the temperature of the barrel and die as well as the suction intensity. The results obtained from this study can offer valuable references in optimization of electret master batch formulation andprocessing parameters for melt-blown fabric production with different resin.
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( Xinyao Lu ),( Guangsheng Wang ),( Yue Feng ),( Song Liu ),( Xiaoman Zhou ),( Guocheng Du ),( Jian Chen ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.10
Lipoxygenase (LOX) is an industrial enzyme with wide applications in food and pharmaceutical industries. The available structure information indicates that eukaryotic LOXs consist of N terminus β-barrel and C terminus catalytic domains. However, the latest crystal structure of Pseudomonas aeruginosa LOX shows it is significantly different from those of eukaryotic LOXs, including the N-terminal helix domain. In this paper, the functions of this Nterminal helix domain in the soluble expression and catalysis of P. aeruginosa LOX were analyzed. Genetic truncation of this helix domain resulted in an insoluble P. aeruginosa LOX mutant. The active C-terminal domain was obtained by dispase digestion of the P. aeruginosa LOX derivative containing the genetically introduced dispase recognition sites. This functional C-terminal domain showed raised substrate affinity but reduced catalytic activity and thermostability. Crystal structure analyses demonstrate that the broken polar contacts connecting the two domains and the exposed hydrophobic substrate binding pocket may contribute to the insoluble expression of the C terminus domain and the changes in the enzyme properties. Our data suggest that the N terminus domain of P. aeruginosa LOX is required for its soluble expression in E. coli, which is different from that of the eukaryotic LOXs. Besides this, this N-terminal domain is not necessary for catalysis but shows positive effects on the enzyme properties. The results presented here provide new and valuable information on the functions of the N terminus helix domain of P. aeruginosa LOX and further improvement of its enzyme properties by molecular modification.
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An open Scheduling Framework for QoS resource management in the Internet of Things
( Weipeng Jing ),( Qiucheng Miao ),( Guangsheng Chen ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.9
Quality of Service (QoS) awareness is recognized as a key point for the success of Internet of Things (IOT).Realizing the full potential of the Internet of Things requires, a real-time task scheduling algorithm must be designed to meet the QoS need. In order to schedule tasks with diverse QoS requirements in cloud environment efficiently, we propose a task scheduling strategy based on dynamic priority and load balancing (DPLB) in this paper. The dynamic priority consisted of task value density and the urgency of the task execution, the priority is increased over time to insure that each task can be implemented in time. The scheduling decision variable is composed of time attractiveness considered earliest completion time (ECT) and load brightness considered load status information which by obtain from each virtual machine by topic-based publish/subscribe mechanism. Then sorting tasks by priority and first schedule the task with highest priority to the virtual machine in feasible VMs group which satisfy the QoS requirements of task with maximal. Finally, after this patch tasks are scheduled over, the task migration manager will start work to reduce the load balancing degree.The experimental results show that, compared with the Min-Min, Max-Min, WRR, GAs, and HBB-LB algorithm, the DPLB is more effective, it reduces the Makespan, balances the load of VMs, augments the success completed ratio of tasks before deadline and raises the profit of cloud service per second.
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