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79篇 您的检索式:作者名="Jiuping"
    题名 作者 年代 出处 被引量
1Acupuncture at the Taixi(KI3) acupoint activates cerebral neurons in elderly patients with mild cognitive impairment显示文摘Our previous findings have demonstrated that acupuncture at the Taixi(KI3) acupoint in healthy youths can activate neurons in cognitive-related cerebral cortex. Here, we investigated whether acupuncture at this acupoint in elderly patients with mild cognitive impairment can also activate neurons in these regions. Resting state and task-related functional magnetic resonance imaging showed that the pinprick senstation of acupuncture at the Taixi acupoint differed significantly between elderly patients with mild cognitive impairment and healthy elderly controls. Results showed that 20 brain regions were activated in both groups of participants, including the bilateral anterior cingulate gyrus(Brodmann areas [BA] 32, 24), left medial frontal cortex(BA 9, 10, 11), left cuneus(BA 19), left middle frontal gyrus(BA 11), left lingual gyrus(BA 18), right medial frontal gyrus(BA 11), bilateral inferior frontal gyrus(BA 47), left superior frontal gyrus(BA11), right cuneus(BA 19, 18), right superior temporal gyrus(BA 38), left subcallosal gyrus(BA 47), bilateral precuneus(BA 19), right medial frontal gyrus(BA 10), right superior frontal(BA 11), left cingulate gyrus(BA 32), left precentral gyrus(BA 6), and right fusiform gyrus(BA 19). These results suggest that acupuncture at the Taixi acupoint in elderly patients with mild cognitive impairment can also activate some brain regions.Shangjie Chen Maosheng Xu Hong Li Jiuping Liang Liang Yin Xia Liu Xinyan Jia Fen Zhu Dan Wang Xuemin Shi Lihua Zhao 2014Neural Regeneration Research2014,9,11:18
2Health management based on fusion prognostics for avionics systems显示文摘Health management permits the reliability of a system and plays a increasingly important role for achieving efficient system-level maintenance.It has been used for remaining useful life(RUL) prognostics of electronics-rich system including avionics.Prognostics and health management(PHM) have become highly desirable to provide avionics with system level health management.This paper presents a health management and fusion prognostic model for avionics system,combining three baseline prognostic approaches that are model-based,data-driven and knowledge-based approaches,and integrates merits as well as eliminates some limitations of each single approach to achieve fusion prognostics and improved prognostic performance of RUL estimation.A fusion model built upon an optimal linear combination forecast model is then utilized to fuse single prognostic algorithm representing the three baseline approaches correspondingly,and the presented case study shows that the fusion prognostics can provide RUL estimation more accurate and more robust than either algorithm alone.Jiuping Xu Lei Xu 2011Journal of Systems Engineering and Electronics2011,22,3:14
3A KIND OF FUZZY MULTI-OBJECTIVE LINEAR PROGRAMMING PSOBLEMS BASED ON INTER VALVALUED FUZZY SETS显示文摘This paper presents a general solution procedure and an interactive fuzzy satisfying method for a kind of fuzzy multi-objective linear programming-problems based on interval valued fuzzy sets. Firstly, a fuzzy set of the fuzzy solutions, which can be focused on providing complete information for the final decision, can be obtained by the proposed tolerance analysis of a non-dominated set. Secondly, the satisfying solution for the decisionmaker can be derived from Pareto optimal solutions by updating the current reference membership levels on the basis of the current levels of the membership functions together with the trade-off rates between the membership functions.XU Jiuping (Department of Applied Mathematics, Sichuan University, Chengdu 610065, China) 2001Journal of Systems Science & Complexity2001,14,2:2
4PPP-RTK functional models formulated with undiferenced and uncombined GNSS observations显示文摘Technique PPP-RTK combines the advantages of both the Precise Point Positioning(PPP)and the Real-Time Kinematic(RTK)positioning.With the emergence of multi-frequency Global Navigation Satellite System(GNSS)observations,it is preferable to formulate PPP-RTK functional models based on original(undiferenced and uncombined)observations.While there exist many variants of the undiferenced and uncombined PPP–RTK models,a unifed theoretical framework needs developing to link these variants.In this contribution,we formulate a class of undiferenced and uncombined PPP-RTK functional models in a systematic way and cast them in a unifed framework.This framework classifes the models into a code-plus-phase category and a phase-only category.Each category covers a variety of measurement scenarios on the network side,ranging from small-,medium-to large-scale networks.For each scenario,special care has been taken of the distinct ionospheric constraints and the diference between Code Division Multiple Access(CDMA)and Frequency Division Multiple Access(FDMA)signals.The key to systematically formulating these models lies in how to deal with the rank defciency problems encountered.We opt for the Singularity-basis(S-basis)theory,giving rise to the full-rank observation equations in which the estimable parameters turn out to be the functions of original parameters and those selected as the S-basis.In the sequel,it becomes straightforward to derive for each scenario the user model as it,more or less,amounts to the single-receiver network model.Benefting from the presented theoretical framework,the relationships and diferences between various undiferenced and uncombined PPP-RTK models become clear,which can lead to the better use of these models in a specifc situation.Baocheng Zhang Pengyu Hou Jiuping Zha Teng Liu 2022Satellite Navigation2022,3,1:2
5Review of usage- based transmission cost allocation methods under open access 显示文摘PAN Jiuping TKELU Y RAHMAN S 2000IEEE Trans on Power Systems2000,15,4:2
6Review of usage-based transmission cost allocation methods under open access显示文摘 Teklu Y Rahman S 2000IEEE Trans On Power Systems2000,15,4:1
7A class of multiobjective linear programming model with fuzzy random coefficients显示文摘Li Jun Xu Jiuping Gen M 2006Mathematical and Computer Modelling2006,44,1112:1
8Econometric Model in Qingchuan CountyXU Jiuping LIU Guangzhoug WANG Rui (Dept. of Applied Mathematics, Chengdu University of Science and TechnologyChengdu 610065, China) 1995Systems Science and Systems Engineering1995,5,4:1
9An interval based MADM approach to the identification of candidate alternatives in strategic resource planing显示文摘PAN Jiuping TEKLU Y RAHMANS 2000IEEE Transactions on Power Systems2000,15,4:1
10A class of convex fuzzy mappings显示文摘Yan Hong Xu Jiuping 2002Fuzzy Sets and Systems2002,129,:1
11A class of linear interval programming problems and its application to portfolio selection显示文摘Lai K K Wang Shouyang Xu Jiuping 2002IEEE Trans on Fuzzy Systems2002,10,6:1
12An efficient compensation algorithra for current transformer saturation effects显示文摘Pan Jiuping Vu K Hu Yi 2004IEEE Transactions on Power Delivery2004,19,4:1
13An interval based MADM approach to the identification of candidate alternatives in strategic re source planing显示文摘Pan Jiuping Rahmans T Y 2000IEEE Transactions on Power Systems2000,15,4:1
14A fuzzy multi-criteria group decision making method for individual research output evaluation with maximum consensus显示文摘Zongmin Li Merrill Liechty Jiuping Xu Benjamin Lev 2013Knowledge-Based Systems2013,,:1
15Predicting and optimization of energy consumption using system dynamics-fuzzy multiple objective programming in world heritage areas显示文摘ZHIBIN WU JIUPING XU 2013Energy2013,43,:1
16A multi-objective chance-constrained network optimal model: with random fuzzy coefficients and its application to logistics distribution center location problem 显示文摘Xu Jiuping Yao Liming Zhao Xiaodan 2010Fuzzy Optimization And Decision Making2010,10,3:1
17Vehicle routing optimization with soft time Windows in a fuzzy random environment显示文摘Xu Jiuping Yan Fang Li Steven 2011Transportation Research2011,47,6:1
18Nonconvex fuzzy mappings and the fuzzy prevariational inequality 显示文摘Wu Zezhong Xu Jiuping 2008Fuzzy Sets Sys- tems2008,159,16:1
19A Fuzzy Multi- criteria Group Decision Making Method for Individualresearch Output Evaluation with Maximum Consensus 显示文摘Zongmin Li Merrill Liechty Jiuping Xu 2014Knowledge - based Systems2014,,56:1
20An interval-based MADM approach to the identification of candidate alternatives in strategic resource planning显示文摘Pan Jiuping Teklu Yonael Rahman Saifur 2000IEEE Trans on Power Systems2000,15,4:1
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