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The underwater environment poses a difficult challenge for autonomous underwater navigation. A standard problem of underwater vehicles is to maintain its position at a certain depth in order for it to perform desired operations. An effective controller is required for this purpose and hence the design of a depth controller for an Unmanned Underwater Vehicle is described in this paper. The control...
Contemporary microwave circuit design is based on EM simulations and complex simulation models. Simulation model design is a must for growing number of devices and systems for which theoretical (e.g., analytical) models are either not available or not sufficiently accurate to yield the design satisfying given performance requirements. As prototype manufacture is very costly, the use of computer simulations...
Model predictive control (MPC) is an advanced technique for process control. It is based on iterative, finite horizon optimization of a cost function associated with a plant model. Neural network is an effective approach for on-line optimization problems. In this paper, we apply the general projection neural network for MPC of nonlinear affine systems. Continuous stirred tank reactor (CSTR) system...
The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput and to allocate various computing resources...
Distributed systems usually provide services with varying criticalities. Failures of core services lead to catastrophic consequences to the system. Maintaining system core services' availability with limited resources has become a challenging issue, especially when system operates in an adversary environment and face malicious under attack. This paper discusses the attacker-defender problem and analyzes...
According to the working features of the drawing press,the article discusses its optimization design, how to establish the model and analyse dynamics based on Virtual Prototyping (VP) technology which integrates CAD, CAE and visual technologies, etc., and compared the simulative results and theoretic results. The results show that the motion characteristics of optimization model can meet to the sheet...
The knowledge of the propagation behavior of radio waves is a fundamental prerequisite for planning and optimizing mobile radio networks. Propagation effects are usually simulated numerically, since real-world measurement campaigns are time-consuming and expensive. Automatic planning algorithms can explore a vast amount of network configurations to find good deployment schemes. However, complex urban...
The design of technological systems that can be modelled as discrete event systems (DES) constitute a difficult problem with important implications in the performance of the operation of the systems during their complete lifetime. The independent simulation of the behaviour of selected alternative structures for the system to be designed constitutes a classical approach for the decision support systems...
The leakage and diffusion accident of inflammable and explosive toxic gas has become a serious problem in the field of environment and security. Based on the optimized three-dimensional finite element model (FEM3) and the actual condition in complex and sealed space, a three-dimensional simulation system is developed to simulate the dynamic process of leakage and diffusion of gas in complex and sealed...
Batch chemical processes have become significant in chemical manufacturing. Recently, economy globalization has resulted in growing worldwide competitions in traditional chemical process industry. In order to increase competition, reduce production costs and meet safety requirements, it is necessary to implement varies optimization methods and advanced control strategies. The goal of this paper is...
If a linear turbine cascade experimental apparatus uses only few cascade model, it has several advantages in experiment, such as increasing the accuracy of experimental result by applying bigger turbine cascade model on the same apparatus without increasing compressor power, and easy access of optical devices within the cascade passage. However, it is difficult to make the same periodic flow conditions...
The complexity of blast furnace iron-making process control can be interpreted from two aspects. From the aspect of technique, it is composed of status diagnosis of blast furnace, predictive control of silicon content and an organic combination of them. From the aspect of control theory, it is no longer the traditional direct feedback control, but intelligent control based on inference and optimization...
This paper introduces an adaptive scanning order for bitplane image coding engines, which is devised from a rate-distortion optimization perspective that uses recent advances in coefficient modeling and distortion estimation. The main idea is to always select the next coefficient to be coded so that image distortion and code stream length are minimized. The sequence of visited coefficients is adapted...
The monitoring system of the dam is introduced. To different dams and monitoring points at different locations of dams, because their geographical environment and geological environment are different, their deformation discipline is different, we can preplace some deformation models, and let the computer look for the deformation model whose forecast error is least. In order to improve the fitted accuracy...
The first few batches of cassava harvester embedded depth is not deep enough or too deep, the rate of pick up is not efficient and not efficient cassava into the soil of time differences, and for different levels of the above limitations, this paper through simulation analysis and trajectory analysis of cassava harvester to identify the performance of the structural parameters of the above. Using...
Based on driving simulator and optical illusion, a new deceleration marking was proposed. The independent road marking deceleration marking simulation and optimization platform was implanted to the driving simulator. By using the virtual reality simulation technology in computer to generate the three-dimensional scene of the road deceleration markings, the computer interacted with the participants...
This paper proposes a sparsity driven shape registration method for occluded facial feature localization. Most current shape registration methods search landmark locations which comply both shape model and local image appearances. However, if the shape is partially occluded, the above goal is inappropriate and often leads to distorted shape results. In this paper, we introduce an error term to rectify...
A bi-objective optimization model of power and power changes generated by a wind turbine is discussed in this paper. The model involves two objectives, power maximization and power ramp rate (PRR) minimization. A new constraint for power maximization based on physics and process control theory is introduced. Data-mining algorithms were used to identify the model of power generation from the industrial...
This paper aims at warning modellers in systems biology against several traps encountered in the modelling of Boolean thresholded automata networks, i.e. the Hopfield-like networks that are often used in the context of neural and genetic networks. It introduces a new manner based on inverse methods to conceive such models. Using these techniques, we re-visit the model of regulatory network of Arabidopsis...
This paper presents a model-driven approach to developing pervasive computing applications that exploits design time information to support the engineering of planning and optimisation algorithms that reflect the presence of uncertainty, dynamism and complexity in the application domain. In particular the task of generating code to implement planning and optimisation algorithms in pervasive computing...
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