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Maneuvering target tracking is a big challenge to the performance of a visual tracker. The paper proposes a method to keep the tracker robust to target maneuvering by selecting discriminative features from a large feature space, and constructing a velocity motion model with adaptive noise variance. Furthermore, the feature selection procedure is embedded into the particle filtering process with the...
Based on the rigid dynamics as well as applied nonlinear theory, an adaptive nonlinear controller of a single hydraulic cylinder's test stand is developed and realized, which compensate in real time for nonlinear force produced by joints when mechanism rapidly moving in high speed. First, model of kinematics and dynamics of the test stand are built, meanwhile nonlinear Controller is designed by using...
This paper focuses on developing a hardware-in-the-loop (HIL) system for a boiler-turbine process, employing decoupled adaptive control based on gain scheduling technique. The used model is a 3 × 3 non-linear strongly coupled system adapted to fit a real thermal power plant of 16 MW. The main purpose of this work lies in implementing, comparing and validating the proposed HIL method over classic simulation...
With the development of economy, knowledge management is becoming a key approach to mold enterprise core competence. Trust has an important impact on knowledge dissemination which is the critical section of knowledge management. But in current research on knowledge dissemination there are few people studying trust evaluation mechanism. In this paper, we analyses effects of trust on enterprise knowledge...
The question which how to select the most superior fitting mode of variogram is one of basic questions which in current geostatistics not yet completely solves. In view of this question, this article proposed take lag as the weight coefficient to establish objective function and establish the variogram fitting method based on the evolutionary programming. This method dynamic estimates the parameter...
Intrusion prevention technologies and mechanisms have been developed to enhance the network security. Model-based approach is one of the most promising approaches for intrusion prevention and intrusion detection, since it can reveal the hidden characteristic of time series. Hidden Markov Model (HMM) is a main time series model. In the implement of the intrusion prevention mechanism, the combination...
This paper presents the architecture and development of the a pedagogical multi-agent system for Virtual Peer Agents, that support the teaching/learning process. SmartChat is a system of agents that interact with human students and offers help on issues related to a particular course. SmartChat allows communication independent, coordinated, eloquent and realistic between human and artificial agents.
After a presentation of the domain of conceptual modeling of the enterprise and the famous methods used, we present a panorama of methods and tools particularly for the functional and the decisional modeling. Some techniques present hiatuses and they are not precisely coherent or complementary for modeling the functional and decisional system of the enterprise. The objective of this paper is to show...
Networks consisting of many autonomous sensors are gaining importance in real-life applications. Wireless sensor lifetimes still are limited by finite power sources, leading to the need of low-power system designs. A novel holistic approach for system simulation of ultra-low power wireless sensor networks is discussed. Special focus of this paper is parallel modeling of simulation components, adaptive...
In the literature of real-time software applications, case-based reasoning (CBR) techniques have been successfully used in order to develop systems able to carry on with their temporal restrictions. This paper presents a mathematical technique for modelling the generation of solutions by a RealTime (RT) system employing a CBR that allows their response times to be bounded. Speaking in general, a system...
The objective of this research is to illustrate the importance of users satisfaction in the human-computer interaction. To reach this stage believes it is necessary to consider the task, the activity, and identify the users mental model in terms of their needs and expectations with cognitive ergonomics, emotional design and usability support.
Multi-agent systems are ubiquitous in the world. Recently, multi-agent systems have received increasing attention from mathematics, physics, engineering sciences, and social science communities. This paper firstly introduces several fundamental concepts and then reviews several representative models of multi-agent systems, including the Boids model, Vicsek model, Couzin-Levin model and its invariants,...
This paper presents partial results of the development of a research project, therefore, outlines the most relevant concepts of a computer model, which performs data analysis to support the use of a process of risk management in software projects. The first instance, presents a framework of risk management processes and the selection of one of them, then, we present the characterization of information...
Tracking an unknown and time varying number of targets is a difficult issue. The Unscented Probability Hypothesis Density Filter (UKPHD) tackles this problem, moreover, it allows the estimation of both the number of targets and their states without any data association steps by considering the target states as a single global target state, its a closed-form solution for the probability hypothesis...
Global approximation for a complex function or model with large domain can be applied in many fields such as sensibility analysis, parameter or control optimization and component simulation in a complex top-level system. The approximate substitute for the original model is also called response surface (RS). After analyzing the drawbacks of the existing response surface methods, propose an adaptive...
In order to adapt the complexity and omission of present work, and make the workflow more convenient for operation, it divides the workflow model into three sub models - process model, task flow model and resource model in this paper, which called process-task flow-resource model. Process model works for the general flow of the whole work using common Petri nets modeling, resource model is responsible...
Electric power grid operation being an ever challenging scientific field is faced with a high variety of optimization problems. Since the future vision of so called smart grids causes higher complexity and new requirements to these problems, sophisticated investigation in suitable optimization algorithms is essential. Here, metaheuristic optimization strategies are proven to be suitable for high dimensional...
Semi-structured business processes are emerging at a rapid pace in industries such as government, insurance, banking and healthcare. The workflows underlying these case-oriented processes are non-deterministic. They are mostly driven by human decision making and content status and they may change frequently depending on factors such as economic conditions, legislative policy changes and technological...
Efficient flood management requires accurate real time forecasts to allow early warnings, real time control of hydraulics structures or other actions. Commercially available computing tools typically use, for flow or level forecasting, hydraulic models derived from the numerical approximation of Saint-Venant equations. These tools need powerful computers, accurate knowledge of the riverbed topography...
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