The paper presents a new control method for the real time control of rescue robots' actuators, using the concepts and ideas of Extenics Theory. The controller uses the Dependent Function to measure the degree of c...
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The paper presents a new control method for the real time control of rescue robots' actuators, using the concepts and ideas of Extenics Theory. The controller uses the Dependent Function to measure the degree of compatibility of the process variable and combines this information with the derivative of the system error. It then takes the appropriate action to force the system into convergence around a desired set point. This builds upon the previous single-input Extenics controller and leads to a slightly more complex implementation with markedly better results, while retaining the ease of defining and adjusting the associated parameters and rule base. The output of the Dependent Function classifies the process variable value into one of four categories, concurrent with the nested intervals used in Extenics Theory. The rationality and validity of the proposed model are demonstrated through simulation in the Matlab/Simulink environment. The controller is then compared to a selection of other possible controllers. Throughout the paper, opportunities for further improvement and research are highlighted and discussed.
FAC has only been recognized in the past three to four decades as a corrosion mechanism and has not been greatly understood until recently. There are a wide range of factors that affect the rate of FAC including chemi...
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Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in addition to be comp...
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A low cost frequency-dependent (FD) I/Q imbalance self-compensation scheme is investigated in this paper. The direct conversion transmitters are widely used in wireless systems. However, the unwanted image-frequencies...
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A low cost frequency-dependent (FD) I/Q imbalance self-compensation scheme is investigated in this paper. The direct conversion transmitters are widely used in wireless systems. However, the unwanted image-frequencies and distortions are inevitably introduced into the direct conversion system. This problem is even severer in wideband systems. Therefore, the accurate estimation and compensation of I/Q imbalance is crucial. The current compensation method is based on external instruments or internal feedback path which introduces additional impairments and is expensive. This paper proposes a low cost FD I/Q imbalance self-IQ-demodulation based compensation scheme without using external calibration instruments. First, the impairments of baseband and RF components are investigated. Further, I/Q imbalance model is developed. Then, the proposed a self-IQ-demodulation based compensation scheme is investigated. The overall FD I/Q imbalance parameters are estimated by developing a self-IQ-demodulation algorithm. To realize this self-IQ-demodulation algorithm, this paper introduces minor modifications to the current power detector circuit and specially designed training signal. Afterwards, the estimated parameters are applied to the baseband equivalent compensator. This sophisticated algorithm guarantees low computation complexity and low cost. The compensation performance is evaluated in laboratory measurement.
In this paper, we propose a priority based scheduling algorithm for Mobile Ad-hoc Network (MANET) using fuzzy logic. The fuzzy system has three inputs: data rate, Signal-to-Noise Ratio (SNR) and queue size. The fuzzy ...
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Context: The environment in which the system operates, its context, is variable. The autonomous ability of a software to adapt to context has to be planned since the requirements analysis stage as a strong mutual infl...
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Context: The environment in which the system operates, its context, is variable. The autonomous ability of a software to adapt to context has to be planned since the requirements analysis stage as a strong mutual influence between requirements and context does exist. On the one hand, context is a main factor to decide whether to activate a requirement, the applicable alternatives to meet an activated requirement as well as their qualities. On the other hand, the system actions to reach requirements could cause changes in the context. Objectives: Modelling the relationship between requirements and context is a complex task and developing error-free models is hard to achieve without an automated support. The main objective of this paper is to develop a set of automated analysis mechanisms to support the requirements engineers to detect and analyze modelling errors in contextual requirements models. Method: We study the analysis of the contextual goal model which is a requirements model that weaves together the variability of both context and requirements. Goal models are used during the early stages of software development and, thus, our analysis detects errors early in the development process. We develop two analysis mechanisms to detect two kinds of modelling errors. The first mechanism concerns the detection of inconsistent specification of contexts in a goal model. The second concerns the detection of conflicting context changes that arise as a consequence of the actions performed by the system to meet different requirements simultaneously. We support our analysis with a CASE tool and provide a systematic process that guides the construction and analysis of contextual goal models. We illustrate and evaluate our framework via a case study on a smart-home system for supporting the life of people having dementia problems. Results: The evaluation showed a significant ability of our analysis mechanisms to detect errors which were not notable by requirements engineers.
Latent Dirichlet Allocation(LDA)has been widely applied to text *** is a probabilistic topic model which processes documents as the probability distribution of *** challenging issue in application of LDA is to select ...
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ISBN:
(纸本)9781479951499
Latent Dirichlet Allocation(LDA)has been widely applied to text *** is a probabilistic topic model which processes documents as the probability distribution of *** challenging issue in application of LDA is to select the optimal number of topics in LDA *** paper presents a topic selection method which considers the density of each topic and computes the most unstable topic structure through an iteration *** results show that the proposed method can generate an optimal number of topics automatically with a small number of iterations.
In this paper,we present a surface reconstruction via 2D strokes and a vector field on the strokes based on a two-step *** the first step,from sparse strokes drawn by artists and a given vector field on the strokes,we...
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In this paper,we present a surface reconstruction via 2D strokes and a vector field on the strokes based on a two-step *** the first step,from sparse strokes drawn by artists and a given vector field on the strokes,we propose a nonlinear vector interpolation combining total variation(TV)and H1 regularization with a curl-free constraint for obtaining a dense vector *** the second step,a height map is obtained by integrating the dense vector field in the first *** discontinuities in surface and discontinuities of surface gradients can be well reconstructed without any surface *** also provide a fast and efficient algorithm for solving the proposed *** vectors on the strokes are interpreted as a projection of surface gradients onto the plane,different types of strokes are easily devised to generate geometrically crucial structures such as ridge,valley,jump,bump,and dip on the *** stroke types help users to create a surface which they intuitively imagine from 2D *** compare our results with conventional methods via many examples.
The paper presents the design and simulation of a three degrees-of-freedom robotic device for use in an autonomous robotic platform. The tracking reference for the angular joints is given using a trained neuro-fuzzy m...
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The paper presents the design and simulation of a three degrees-of-freedom robotic device for use in an autonomous robotic platform. The tracking reference for the angular joints is given using a trained neuro-fuzzy model instead of the usual inverse kinematic system. The joint actuators are driven using a selection of position controllers and a comparison for their performance is provided. The paper draws on some previously investigated concepts of great actuality to the field such as neuro-fuzzy networks, Extenics and reduced-base fuzzy control.
In today's ever-changing market, global competition, technology development, customer demands, and decreases of product life cycles push logistics organizations in a supply chain (SC) to shift towards to flexible,...
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