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Taking software project risk event as the study object, this paper focuses on the problem of emergency disposal of software project risk and Petri nets modeling method is introduced to analyze the concurrent progresses. According to the happened risks, its emergency management process is defined and its Petri nets model is built. Due to its homogeneous characteristics with Markov chain, its Markov...
In the present work, a global optimization method known as the Generalized Geometric Programming (GGP) is used. The technique of convexification used in the present work is different from others presented in earlier works. The presented GGP allows to obtain the global optimum by few transformation applied to the original optimization problem. But for the other convexification technique many constraints...
Based on the theory of consistency, the thesis of the UAV according to the stability of a given group of regular exercise were studied. First, the design of the UAV swarm motion model, and then use the leader-follower model to follow for all drones are capable UAV pilot normal communication, designed with the corresponding movement of the UAV swarm consistency controller. Subsequently obtained by...
Nowadays, a growing interest has been accorded to wireless communication in different fields especially in electrical domains. Due to the electromagnetic, Doppler and phases problems, the using of wireless communication in electrical motors is restricted. This paper presents primary studies which highlight the importance of using wireless sensors inside motor and pointed out a number of problems related...
This paper considers the problems of fault detection and reconstruction for uncertain nonlinear Lipschitz systems when the so-called structural matching condition is satisfied. The admissible Lipschitz constant of the system is maximized through linear matrix inequality (LMI) optimization. This significantly extends previous results by considering a more general class of system nonlinearities. A full-order...
This paper focuses on a Kinect-based real-timeinteractive control system implementation. Based on LabVIEW integrated development environment (IDE), a developed human machine-interface (HMI) allows user to control in real time a Lynxmotion robotic arm. The Kinect software development kit (SDK) provides a tool to keep track of human body skeleton and abstract it into 3 dimensions coordinates. Therefore,...
The physical-based analytical model proposed by Lauritzen and Ma (LM) in 1993 is used to simulate power silicon diode (PiN). Recent, semi-conductor materials with wide band gap are used to improve power system performance. This paper presents, on the one hand, the limit of the physical based analytical LM PiN diode model for silicon carbide diode PiN. On the other hand, an improved of LM model is...
This paper proposes a new idea for modeling complex systems: it is a modified version of the Multi-Network Neural Model ("MNNM") to solve the problem of nonlinear systems modeling. In fact, the Multi-Network Neural Model was carried out using an algorithm consisting on training simultaneously all local neural networks, then, the interpolation of these local networks via an appropriate fuzzy...
In this paper, we develop a receding horizon control (RHC) approach to linear systems through a direct method using the Block Pulse Functions (BPFs) parameterizations technique. This approach is based on the online optimal controls using BPFs and linear programming to formulate new control gains at every iteration. To update the gain, a linear programming algorithm was implemented in real-time for...
This paper proposes an on the fly algorithm for graph distribution. The algorithm uses a new distributed method combined with the Binary Decision Diagram (BDD) for holding a global image of the system. Though, the proposed approach is a distributed algorithm, it uses little or none communication between the different nodes(sites). Hence it increases the fault tolerance of an unreliable network. In...
Concerning the limitations that the accuracy of predication is lower in the traditional model of movie box-office prediction and classification, this paper proposes a novel model of movie box-office revenue prediction. The model is based on the relationship of movie box-office and the user behaviors. The algorithm could be summarized as follows. Firstly, this paper uses the Latent Factor Model (LFM)...
This study proposes the Strength Pareto Evolutionary Algorithm (SPEA2) for Environmental/Economic Power Dispatch (EEPD) problem. In the past fuel cost consumption minimization was the single objective function of economic power dispatch problem. Since the clean air act amendments have been applied to reduce polluting gases emissions from power plants, the utilities change their strategies in order...
This paper addresses the nonlinear control design problem for a state coupled two-tank liquid level system. For this system's dynamics, motivated by a desire to provide precise and economic liquid level control, a novel output feedback control scheme is developed. In the proposed approach, a model-based nonlinear generalized predictive controller combined with a high gain observer is designed for...
It is usually not easy to extract fault features from the vibration signals directly, since the complexity of the mechanical structure and the serious background interference in industry testing site. In order to deal with these kinds of monitoring problems, a mechanical failure diagnosis method based on reference signal frequency domain semi-blind extraction is proposed. In this method, dynamic particle...
The serial communication function of microprocessor is often used in a MCS — 51 microprocessor application system. Because of the influence of the working environment, data will be disturbed and mistake will occur in the process of transmission. In this paper, based on the serial port of the microprocessor, fault-tolerant technology of data communication can be achieved. For the interference problem...
Some embedded designers desire optimize encryption processing especially for low-cost wireless communications that may be carrying or transmitting sensitive information. They can achieve energy and performance benefits by using dedicated hardware accelerators. However, implementing custom hardware accelerators require hand written register transfer level (RTL) development and debugging and are too...
In this paper, we aim to encourage the use of renewable power in communication systems through hybrid powering. The problem consists of optimizing the resource allocation problem using the hybrid powering from renewable and non-renewable sources. Minimizing a new defined power cost function instead of the net power consumption aims to encourage the use of the renewable power through collaboration...
With the device of reverse engineering development, the point cloud data as a common and important form existed in surface reconstruction especially in non-contacting measurement. The 3D scanner usually is used to measure the point data, though, the row data is so large, scatter and unordered. So, the representation of point cloud and how to change it to surface is a key content in reverse engineering...
Electric motors have become an essential part of the most Mechatronics system. Long operating life, higher power density and high efficiency are the advantages that make the Brushless DC motors (BLDC) widely used in industrial mechatronics applications. Downtime, costly maintenance and energy wasted are damages resulting from faults. Fault Detection (FD) techniques could help at avoiding these damages,...
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