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| 1 | Joint optimization of LORA and spares stocks considering corrective maintenance time显示文摘Level of repair analysis(LORA) is an important method of maintenance decision for establishing systems of operation and maintenance in the equipment development period. Currently, the research on equipment of repair level focuses on economic analysis models which are used to optimize costs and rarely considers the maintenance time required by the implementation of the maintenance program. In fact, as to the system requiring high mission complete success, the maintenance time is an important factor which has a great influence on the availability of equipment systems. Considering the relationship between the maintenance time and the spares stocks level, it is obvious that there are contradictions between the maintenance time and the cost. In order to balance these two factors, it is necessary to build an optimization LORA model. To this end, the maintenance time representing performance characteristic is introduced, and on the basis of spares stocks which is traditionally regarded as a decision variable, a decision variable of repair level is added, and a multi-echelon multiindenture(MEMI) optimization LORA model is built which takes the best cost-effectiveness ratio as the criterion, the expected number of backorder(EBO) as the objective function and the cost as the constraint. Besides, the paper designs a convex programming algorithm of multi-variable for the optimization model, provides solutions to the non-convex objective function and methods for improving the efficiency of the algorithm. The method provided in this paper is proved to be credible and effective according to the numerical example and the simulation result. | Linhan Guo Jiujiu Fan Meilin Wen Rui Kang | 2015 | Journal of Systems Engineering and Electronics2015，26，1： | 8 |
| 2 | Study on Military Equipment Support Modeling and Simulation 显示文摘 | Zhang Wenjin Kang Rui Guo Linhan | 2005 | Journal of Chinese Journal of Aeronautics2005，18，2： | 1 |
| 3 | Study on military equipment support modeling and simulation显示文摘 | Zhang Wenjin Kang Rui Guo Linhan | | 0，，02： | 1 |
| 4 | Designing artificial ion channels with strict K^(+)/Na^(+)selectivity toward next-generation electric-eel-mimetic ionic power generation显示文摘A biological potassium channel is>1000 times more permeable to K^(+)than to Na^(+)and exhibits a giant permeation rate of~10^(8)ions/s.It is a great challenge to construct artificial potassium channels with such high sele ctivity and ion conduction rate.Herein,we unveil a long-overlo oked structural feature that underpins the ultra-high K^(+)/Na^(+)selectivity.By carrying out massive molecular dynamics simulation for ion transport through carbonyl-oxygen-modified bi-layer graphene nanopores,we find that the twisted carbonyl rings enable strict potassium selectivity with a dynamic K^(+)/Na^(+)selectivity ratio of 1295 and a K^(+)conduction rate of 3.5×10^(7)ions/s,approaching those of the biological counterparts.Intriguingly,atomic trajectories of K^(+)permeation events suggest a dual-ion transport mode,i.e.two like-charged potassium ions are successively captured by the nanopores in the graphene bi-layer and are interconnected by sharing one or two interlayer water molecules.The dual-ion behavior allows rapid release of the exiting potassium ion via a soft knock-on mechanism,which has previously been found only in biological ion channels.As a proof-of-concept utilization of this discovery,we propose a novel way for ionic power generation by mixing KCl and NaCl solutions through the bi-layer graphene nanopores,termed potassium-permselectivity enabled osmotic power generation(PoPee-OP G).Theoretically,the biomimetic device achieves a very high power density of>1000 W/m^(2)with graphene sheets of<1%porosity.This study provides a blueprint for artificial potassium channels and thus paves the way toward next-generation electric-eel-mimetic ionic power generation. | Jipeng Li Linhan Du Xian Kong Jianzhong Wu Diannan Lu Lei Jiang Wei Guo | 2023 | National Science Review2023，10，12： | 0 |
| 5 | Application of Quicksort Algorithm in Information Retrieval显示文摘With the development and progress of today’s network information technology,a variety of large-scale network databases have emerged with the situation,such as Baidu Library and Weipu Database,the number of documents in the inventory has reached nearly one million.So how do you quickly and effectively retrieve the information you want in such a huge database?This requires finding efficient algorithms to reduce the computational complexity of the computer during Information Retrieval,improve retrieval efficiency,and adapt to the rapid expansion of document data.The Quicksort Algorithm gives different weights to each position of the document,and multiplies the weight of each position with the number of matches of that position,and then adds all the multiplied sums to set a feature value for Quicksort,which can achieve the full accuracy of Information Retrieval.Therefore,the purpose of this paper is to use the quick sort algorithm to increase the speed of Information Retrieval,and to use the position weighting algorithm to improve the matching quality of Information Retrieval,so as to achieve the overall effect of improving the efficiency of Information Retrieval. | Jiajun Xie Zuyan Li Han Wu Linhan Li Bin Pan Peng Guo Guang Sun | 2021 | Journal on Big Data2021，3，4： | 0 |
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