In this paper we adopt a component model based on object oriented systems introducing the concepts of components and their structure A component consists of a dynamically changing set of connected objects Only some of these objects are interface objects and are thus accessible from the environment During the component lifetime not only the number of objects but also that of interface objects an...

Business Process Modeling (BPM) is the first and most important step in business process management lifecycle. Graph based formalism and rule based formalism are the two most predominant formalisms on which process modeling languages are developed. BPM technology continues to face challenges in coping with dynamic business environments where requirements and goals are constantly changing at the...

background: despite some successful dynamic simulation of self-impact double pendulum (sidp)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion. objective   : the main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by mod...

Web sites have become increasingly complex and offer a large variety of services and contents. The proliferation of dynamic Web contents opens up new challenging performance and scalability issues. This paper addresses the characterization of dynamic Web contents by studying their update process. We identify parameters and metrics that describe the properties of Web pages and we derive an analy...

syntax, 8abstract transitive closure, 66action node, 139, 209Action Semanticsby Mosses, 40in UML, 41Activity Diagramactivity graphs, 132control structures, 133deficiencies, 125difference to Petri nets, 131evaluation semantics, 135fork node problem, 125history of, 207interpretation by GROOVE, 187offer semantics, 136role in UML, 208<...

this paper presents optimal control method to path planning of mobile robots with flexible joints. dynamic equations are derived and additional kinematic constraints are used to solve the extra dofs arose from base mobility. then with modeling the elasticity at each joint as a linear torsinal spring, the set of equations are formed. the hamiltonian function is formed and the necessary condition...

We investigate dynamic versions of fuzzy logic systems (FLS’s) and, specifically, their non-Singleton generalizations (NSFLS’s), and derive a dynamic learning algorithm to train the system parameters. The history-sensitive output of the dynamic systems gives them a significant advantage over static systems in modeling processes of unknown order. This is illustrated through an example in nonline...

This paper proposes the problem of modeling video sequences of dynamic swarms (DS). We define DS as a large layout of stochastically repetitive spatial configurations of dynamic objects (swarm elements) whose motions exhibit local spatiotemporal interdependency and stationarity, i.e., the motions are similar in any small spatiotemporal neighborhood. Examples of DS abound in nature, e.g., herds ...

In practical engineering, it is difficult to establish complex nonlinear dynamic equations based on theories of mechanics. Data-driven models are built using neural networks in this paper meet the needs high dimension, multi-scale and precision. We construct a two-coefficient loss function for whole data-driven modeling substructure according linear multi-step method. The forward Euler method c...

A recursive dynamic modeling of a three-DOF parallel robot, namely, threeRevolute-Prismatic-Spherical (3-RPS) parallel manipulator is reported in this work. Euler parameters are utilized to define the 3-DOF orientation of its moving platform, because the coordinates are free of singularity. For the dynamic modeling, the concept of the Decoupled Natural Orthogonal complement (DeNOC) matrices is ...