Nanjing University of Finance and Economics
Nanjing, China

Nanjing University of Finance & Economics , colloquially or is located in Nanjing, Jiangsu Province. The university specializes in financial and economic disciplines but also focuses on engineering, law, liberal arts, and science. Wikipedia.

Time filter
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Liu J.,Nanjing University of Finance and Economics | Yue D.,Nanjing University of Posts and Telecommunications
Journal of the Franklin Institute | Year: 2013

This paper is concerned with the event-based fault detection for the networked systems with communication delay and nonlinear perturbation. We propose an event-triggered scheme, which has some advantages over existing ones. The sensor data is transmitted only when the specified event condition involving the sampled measurements of the plant is violated. An event-based fault detection model is firstly constructed by taking the effect of event-triggered scheme and the network transmission delay into consideration. The main purpose of this paper is to design an event-based fault detection filter such that, for all unknown input, communication delay and nonlinear perturbation, the error between the residual signal and the fault signal is made as small as possible. Sufficient conditions for the existence of the desired fault detection filter are established in terms of linear matrix inequalities. Based on these conditions, the explicit expression is given for the designed fault detection filter parameters. A numerical example is employed to illustrate the advantage of the introduced event-triggered scheme and the effectiveness of the proposed method. © 2013 The Franklin Institute.

Liu J.,Nanjing University of Finance and Economics | Yue D.,Nanjing University of Posts and Telecommunications
Information Sciences | Year: 2013

This paper investigates the reliable control design for networked control system under event-triggered scheme. The key idea is that only the newly sampled sensor measurements that violate specified triggering condition will be transmitted to the controller, and the main attribute of our approach is that the proposed event-triggered scheme only needs a supervision of the system state in discrete instants and there is no need to retrofit the existing system. Considering the effect of the network transmission delay, event-triggered scheme and probabilistic sensor or actuator fault with different failure rates, a new fault model is proposed. Based on the newly built model, criteria for the exponential stability and criteria for co-designing both the feedback and the trigger parameters are derived by using Lyapunov functional. These criteria are obtained in the form of linear matrix inequalities. A simulation example is employed to show the effectiveness of the proposed method. © 2013 Elsevier Inc. All rights reserved.

Chen N.,Nanjing Southeast University | Chen N.,Nanjing University of Finance and Economics | Xu Z.,University of Sichuan
Information Sciences | Year: 2015

Hesitant fuzzy set (HFS) permits the membership degrees of an element to a set represented by several possible values. Thus, it provides a suitable means to express uncertain information of different group members within the process of multi-criteria decision making (MCDM). In this paper, we suggest a new approach, named HF-ELECTRE II approach that combines the idea of HFSs with the ELECTRE II method, to efficiently handle different opinions of group members that are frequently encountered when handling the MCDM problems. We formulate the approach by defining the concepts of hesitant fuzzy concordance and discordance sets and by constructing the strong and weak outranking relations, which are employed to decide the ranking for a set of alternatives. Numerical examples are presented to exhibit the applications of the proposed method. Furthermore, a comparison of the alternatives' rankings derived from the HF-ELECTRE II method with those derived from the aggregation operators and the fuzzy group ELECTRE approach is made. After that, a decision supporting system based on the HF-ELECTRE II method is constructed to aid decision making, and the prominent characteristics of the HF-ELECTRE II method and future research challenges are also discussed. © 2014 Elsevier Inc. All rights reserved.

Meng X.,Nanjing University of Finance and Economics
Journal of Manufacturing Systems | Year: 2010

To cope with the rapid change in manufacturing market requirements, reconfigurable manufacturing systems (RMSs) with the feature of reconfigurability, have to be developed. A model that describes the reconfiguring process of a manufacturing system is developed by applying colored timed object-oriented Petri nets. Based on the main difference between configurations of RMSs and flexible manufacturing systems (FMSs), a modular hierarchical structure of RMS is developed. By the object-oriented method, all the object classes in the RMS model are identified. A macro-place is used to model the aggregation of many processes and a macro-transition is used to link all the related macro-places. Macro-places and macro-transitions are connected with arcs to form a Petri net named a macro-level Petri net so that the control logic of RMS is represented. The macro-level Petri net is refined by hierarchical steps, each step describing these macro-places by more detailed sub macro-places until all the macro-places cannot be divided. Then the characteristics of material flow and time constraints in RMS are modeled by applying colored tokens and associated time-delay attributes. This model integrates object-oriented methods, stepwise refinement ideas and Petri nets together. The RMS activities can be encapsulated and modularized by the proposed method, so that RMS can be easily constructed and investigated by the system developers. © 2010 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.

Hu S.,Huazhong University of Science and Technology | Yue D.,Huazhong University of Science and Technology | Liu J.,Nanjing University of Finance and Economics
Information Sciences | Year: 2012

This paper studies the H∞ filtering problem for a class of discrete-time networked systems with partly known distribution transmission delays. It is assumed that the random sensor-filter delay satisfies Markovian characteristics, but the transition probabilities of the delay transferring from one value to others are partly known. A novel measurement model is proposed to reflect the random delay of the transmission modes and the resulting filtering error system is modeled as a Markovian jump system (MJS) with multiple modes and state delay. Sufficient conditions are derived for the filtering error system to be stochastically stable and ensure a prescribed H∞ disturbance attenuation level bound by using mode-dependent Lyapunov functional approach. Based on the derived conditions, a design procedure for the H∞ filter is also presented. A numerical example is provided to show the design process of the filter and the effectiveness of the proposed method. © 2012 Elsevier Inc. All rights reserved.

Wang Y.,Nanjing University of Finance and Economics | Liu L.,Nanjing University of Finance and Economics
Energy Economics | Year: 2010

This paper extends the work in Tabak and Cajueiro [Are the crude oil markets becoming weakly efficient over time, Energy Economics 29 (2007) 28-36] and Alvarez-Ramirez et al. [Short-term predictability of crude oil markets: a detrended fluctuation analysis approach, Energy Economics 30 (2008) 2645-2656]. In this paper, we test for the efficiency of WTI crude oil market through observing the dynamic of local Hurst exponents employing the method of rolling window based on multiscale detrended fluctuation analysis. Empirical results show that short-term, medium-term and long-term behaviors were generally turning into efficient behavior over time. However, in this way, the results also show that the market did not evolve along stable conditions for long times. Multiscale analysis is also implemented based on multifractal detrended fluctuation analysis. We found that the small fluctuations of WTI crude oil market were persistent; however, the large fluctuations had high instability, both in the short- and long-terms. Our discussion is also extended by incorporating arguments from the crude oil market structure for explaining the different correlation dynamics. © 2009 Elsevier B.V.

Qiu Y.,Nanjing University of Finance and Economics
Physica A: Statistical Mechanics and its Applications | Year: 2013

The optimal weighting scheme and the role of coupling strength against load failures on symmetrically and asymmetrically coupled interdependent networks were investigated. The degree-based weighting scheme was extended to interdependent networks, with the flow dynamics dominated by global redistribution based on weighted betweenness centrality. Through contingency analysis of one-node removal, we demonstrated that there still exists an optimal weighting parameter on interdependent networks, but it might shift as compared to the case in isolated networks because of the break of symmetry. And it will be easier for the symmetrically and asymmetrically coupled interdependent networks to achieve robustness and better cost configuration against the one-node-removal-induced cascade of load failures when coupling strength was weaker. Our findings might have great generality for characterizing load-failure-induced cascading dynamics in real-world degree-based weighted interdependent networks. © 2013 Elsevier B.V. All rights reserved.

Qiu Y.,Nanjing University of Finance and Economics
Journal of Non-Newtonian Fluid Mechanics | Year: 2013

Similar to the treatment of self-propelled particles, a generalized car following model with multiple look-ahead was utilized for the study of vehicular traffic. With the assumption of no skewness in velocity distribution and through iterative procedure, it is possible to construct a second order nonlocal hydrodynamic model. In contrast with two-phase fluid-dynamic models with a fundamental diagram, the model has the advantage of microscopically determined relaxation time parameters. Although the rigor is reduced a little compared with the Navier-Stokes like traffic flow model previously studied, the phase transition from free flow to synchronized flow, then from synchronized flow to wide moving jam is reproduced. The catch effect of synchronized flow is also revealed. The simulations suggest that the nonlocality in relaxation time and steady velocity, even though without nonlocality in viscocity, i.e., velocity variance, gives another explanation of synchronized flow. © 2013 Elsevier B.V.

Zou Y.,Nanjing University of Finance and Economics
Professional Geographer | Year: 2015

Over the past decade, both the housing market and the subprime mortgage market in the United States experienced a rise and fall. To explore whether subprime lending has increased or decreased social inequality between subprime neighborhoods and nonsubprime neighborhoods, this article examines the relationship between subprime mortgages and housing price variations within the Philadelphia Metropolitan Statistical Area (MSA), using a global, ordinary least squares (OLS) method and a local, geographically weighted regression (GWR) method. The results show that neighborhoods obtaining disproportionate numbers of subprime mortgages enjoyed lower housing price appreciation rates than other neighborhoods during the housing boom era but suffered higher housing price depreciation rates during the housing bust era, after controlling for other variables. The results also show that the association between housing price variations and explanatory variables differs across geographic submarkets. The empirical evidence draws some policy implications, such as rethinking the homeownership policy through expanding subprime lending, as well as promoting place-based housing policymaking. Combining OLS and GWR, this article improves the understanding of how subprime lending exacerbated social inequality at the neighborhood level. © 2015, © Copyright 2015 by Association of American Geographers.

Tang X.,Nanjing University of Finance and Economics | Alavi S.,Kansas State University
Journal of Agricultural and Food Chemistry | Year: 2012

Nanocomposites of starch, poly vinyl alcohol (PVOH), and laponite RD (LRD) were produced by solution mixing and cast into films. In general, an increase in LRD content (0-20%) enhanced tensile strength and decreased water vapor permeability, irrespective of the relative humidity (50% and 75% RH). Tensile strength (TS) of starch/PVOH/LRD films ranged from 6.51 to 13.3 MPa. At 75% RH, TS was up to 65% higher as compared to films with sodium montmorillonite as filler. The most striking results were obtained with respect to elongation at break (E%), which ranged from 144% to 312%. Contrary to other polymer/clay nanocomposites, E% increased on addition of 5-20% LRD and was up to 175% higher than the control without clay. Nanocomposite structure and interactions were investigated using X-ray diffraction, transmission electron microscopy, and differential scanning calorimetry. Results indicated that LRD was a compatibilizer and cross-linking agent between polymers, and has the potential for use in biodegradable packaging films with good mechanical performance even in high humidity conditions. © 2012 American Chemical Society.

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