P?un’s systems as models of economic systems

In the paper a concept for modeling the economic systems by the formalism of P?un’s systems is proposed. The main idea is to represent economic systems as homomorphic images of Petri nets corresponding to the (super) cells of P?un’s systems.     

P?un’s systems as models of economic systems

In the paper a concept for modeling the economic systems by the formalism of P?un’s systems is proposed. The main idea is to represent economic systems as homomorphic images of Petri nets corresponding to the (super) cells of P?un’s systems.     

A novel extended Kalman filter for a class of nonlinear systems

Estimation of the state variables of nonlinear systems is one of the fundamental and significant problems in control and signal processing. A new extended Kalman filtering approach for a class of nonlinear discrete-time systems in engineering is presented in this paper. In contrast to the celebrated extended Kalman filter (EKF), there is no linearization operation in the design procedure of the filter, and the parameters of the filter are obtained through minimizing a proper upper bound of the mean-square estimation error. Simulation results show that this filter can provide higher estimation precision than that provided by the EKF.     

A prototype auto-human support system for spatial analysis

Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation and uncertainty, and modeling of geospatial data is a complex procedure affected by spatial context, mechanism and assumptions. In order to make spatial modeling easier, some scholars have suggested a lot of knowledge from exploratory data analysis (EDA), specification of the model, fitness and diagnosis of the model, to interpretation of the model. Also an amount of software has improved some functionalities of spatial analysis, e.g. EDA by the dynamic link (GeoDa) and robust statistical calculation (R). However, there are few programs for spatial analysis that can automatically deal with unstructured declarative issues and uncertainty in machine modeling using the domain knowledge. Under this context, this paper suggests a prototype support system for spatial analysis that can automatically use experience and knowledge from the experts to deal with complexity and uncertainty in modeling. The knowledge base component, as the major contribution of the system, in support of the expert system shell, codes and stores declarative modeling knowledge, e.g. spatial context, mechanisms and prior knowledge to deal with declarative issues during the modeling procedure. With the open architecture, the system integrates functionalities of other components, e.g. GIS’ visualization, DBMS, and robust calculation in an interactive environment. An application case of spatial sampling, design and implementation of spatial modeling with such a system is demonstrated.     

Some problems in the third generation wave models and a new approach to ocean wave modeling

The incompatibility, uncertainty and other difficulties involved in the computation of source terms in the third generation wave model are discussed. Among the effects of these difficulties, the lack of spectral reliability and the expected slow improvement of the model are emphasized. The newly developed model based on an adopted wind-wave directional spectrum is briefly reviewed. The justification of using a given spectrum to build up a model is discussed in full length. The new model and the third generation model are compared in terms of reliability, performance, feasibility of improvement and convenience of usage. The new model has shown its advantages in the comparison and its potential in practical applications.     

H.264 SVC在P2P视频系统中的应用

介绍了利用H.264 SVC可分级视频编码技术优势,有效地实现不同终端和网络用户的分级接入,确保不同网络和用户之间视频图像的流畅传输的实现方法。     

On the equivalence classes of linear non-autonomous systems

In this paper, the equivalence classification of the linear non-autonomous dynamic systems near singularities is given. Under some conditions their equivalence classes are the same as the autonomous ones. Using a series of linear and nonlinear transforms, the equivalence classification is proved.     

Vital basic research on modern power systems geared to 21st century

Through analysis of the demand on national modern power systems, a proposal is made to establish and develop basic theories for collapse prevention and optimal operation of large power systems in the 21st century, including three main parts: large system stability theory, nonlinear control theory, and real time simulation and strategic decision systems. The basic features of large power systems are first discussed. Then, by summarizing the research results in this field, the main framework of the above basic theories and the related important scientific problems are systematically described. Their current development conditions and possible research directions are also discussed.     

Derivations of fractal models of city hierarchies using entropy-maximization principle

A pair of models of fractal recursion on city hierarchy, fm=f1r?1-m?f and Pm=P1r?m-1?p, are derived using entropy-maximizing methods, and the relationship of inverse proportion between the number (fm) of cities at a given level of the urban hierarchy and the average population size (Pm) of the fm cities is established, i.e fm∝1/P. It is demonstrated that the underlying rationale of both the scale law of city rank-size distribution and the Zipf dimension value in standard state (dz=lnrp/lnrf=1) rests with maximization of information entropy of city hierarchies.     

Bio-rational design of photosystem Ⅱ inhibitors (Ⅰ)──Molecular modeling of cyanoacrylates and ureas in photosystem Ⅱ D1 protein of Pisum sativum

Molecular modeling of cyanoacrylates and ureas with D1 protein of Pisum sativum have been presented. Studies show that these two kinds of inhibitors occupy the similar region in the D1 protein. Cyanoacrylates have more binding sites than ureas, thus they have higher activities.     

Robust fault tolerant control of uncertain time-delay linear systems

Robust fault tolerant control for a class of time-delay linear systems with parameter uncertainties is studied, and a time-delay related state feedback control is proposed. On the basis of Lyapunov method , we prove that the proposed control law has integrity against sensor and/or actuator failures if the correspondent sufficient condition can be satisfied. A heuristic algorithm is also provided to facilitate the realization of the fault tolerant control. Finally, a simulation example is presented to show the effectiveness of the proposed approach.     

The effect of pmpR on the type III secretion system in Pseudomonas aeruginosa

The type III secretion system(T3SS) plays important roles in Pseudomonas aeruginosa pathogenicity.Previously,we reported that the uncharacterized protein PmpR could regulate pqsR,an important regulator in the quorum-sensing system,by directly binding to its promoter region.As the T3SS is controlled by the quorum-sensing system,here,we investigated the relationship between PmpR and the T3SS.Our data showed that expression of the T3SS genes exoS,exoY,exoT,and exsD was dramatically increased in a pmpR-deletion mutant compared with that in the wild-type P.aeruginosa strain PAO1.Data from DNA mobility assays indicated that PmpR affects the T3SS indirectly.It is unlikely that PmpR controls the T3SS via the Pseudomonas quinolone signal(PQS) because the PQS negatively regulates the T3SS,while pmpR negatively regulates the PQS.The effect of PmpR on the T3SS seems to be independent of the PQS;further investigation is required to uncover the underlying regulatory pathways.     

Progress in researching into the transition of the Mesozoic tectonic systems in southeast China

This paper presents the latest progress made on the research of Mesozoic tectonic system transition from the E-W paleo-Tethyan tectonic domain into NE-NNE western Pacific domain in southeast China. Tectonism of the west Pacific domain began at middle Jurassic (J₂) and formed a set of NE-trending structures, non-coaxially overprinting on E-trending tectonic belts which may be early and coevally produced by the paleo-Tethyan domain. Thus began the tectonic domain transition from the E-trending paleo-Tethyan to the NE-trending Pacific and fully finished at the early Cretaceous. The eastern Nanling area was a junction zone of the transition at middle Jurassic (J₂), and ever since the junction zone might obliquely migrate to the coastal region, where is the east part of this study area. To the north of the Nanling area, the Ganjiang Fault Zone was the boundary between two tectonic domains. Corresponding to the transition of tectonic system, the geodynamics of SE China changed from a compressional system to an extensional system, which continued until the end of Mesozoic-Tertiary.     

一件有关永安寺的写本P.2439

法藏写本P.2439保存完整,正面抄《萨婆多毗尼毗婆沙卷第三》,背面抄有杂写、《妙法莲华经》、社司转帖及《晏子赋》。从卷背题记可知该写本抄于924年,是一件与永安寺有关的写本。根据《晏子赋》异文情况,可知此卷所抄《晏子赋》与P.2564、BD10740属同一写本系统。     

An extended nonlinear state predictor for a class of nonlinear time delay systems

An extended nonlinear state predictor (ENSP) for a class of nonlinear systems with input time delay is proposed. Based on the extended Kalman filter (EKF), the ENSP first estimates the current states according to the previous estimations and estimation errors, next calculates the future state values via the system model, and then adjusts the values based on the current errors. After a state predictive algorithm for a class of linear systems is presented, it is extended to a class of nonlinear time delay systems and the detailed ENSP algorithm is further proposed. Finally, computer simulations with the nonlinear example are presented, which demonstrates that the proposed ENSP can effectively and accurately predict the future states for a class of nonlinear time-delay systems no matter whether the state variables change quickly or slowly.     

基于L．P．模型的产品组合对开发价值影响研究

房地产项目前期产品研发对项目开发价值的实现具有重要意义.通过对市场调研数据的回归分析,得到各种房地产产品的建筑密度、容积率、销售速度、销售均价的期望值,建立L.P.模型,定量地研究不同产品组合对地块价值的影响,这种方法基于已开发项目的客观数据,经过了市场的检验.有别于传统的对拟开发项目直接进行数据的假设.具有更高的科学性和合理性.     

Advances in simulated modeling of vibration systems based on computational intelligence

Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.