Traditionally in Web crawling, the required features are extracted from the whole contents of HTML pages. However, the position which a word is located inside the HTML tags indicates its importance in the web page. Th...
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Traditionally in Web crawling, the required features are extracted from the whole contents of HTML pages. However, the position which a word is located inside the HTML tags indicates its importance in the web page. This research proposes two ideas concerning the Feature Selection stage in HTML web pages. The first idea reduces the features by simply extracting them from the important tags in an HTML page in order to achieve faster classification. The second idea gives weights for each of the important tags. Two algorithms are presented in this paper based on these ideas: i) Important HTML tags only algorithm, ii) Weighted Important HTML tags only algorithm. The selected features are classified using two famous classifiers in the literature: Support Vector Machine (SVM) and Naïve Bayes classifier (NBC). The accuracy of each algorithm is computed. Comparison between the accuracies of traditional feature selection method, which uses the whole contents of HTML page, and the proposed algorithms is performed. Complete evaluation is performed which indicates the effectiveness of using our technique. The experimental results show improved precision and recall with the proposed algorithms with respect to keyword-based search. The algorithms are implemented in JAVA and its extended packages.
The paper proposes a system developed to provide heat for a greenhouse using parabolic trough collectors (GHPTC). The GHPTC control system has the goal to maintain the temperature inside the greenhouse at a desired le...
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The paper proposes a system developed to provide heat for a greenhouse using parabolic trough collectors (GHPTC). The GHPTC control system has the goal to maintain the temperature inside the greenhouse at a desired level, with the actuating variable the flow of the conducting fluid through collector pipes. Considering this aspect, the proposed model takes into account as an output variable the internal temperature of the greenhouse as it influences directly the growth of the plants. The GHTPC model consists of two individual parts: the greenhouse model and the collector's model. Both were validated using real data, considering the maxim error between the real and simulated data on a period of one day. A nonlinear and linear model were deducted for the complex GHPTC system. Based on the linearized model, a PID controller was tuned and used to control the internal temperature in the greenhouse. The control method is suited for the system according to the obtained stationary and transient response performances.
This paper proposes a method for planning a team of mobile robots such that they accomplish a set of tasks. The environment and the movement capabilities of mobile robots are represented by a Petri net model. Each tas...
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This paper proposes a method for planning a team of mobile robots such that they accomplish a set of tasks. The environment and the movement capabilities of mobile robots are represented by a Petri net model. Each task is located in a given location and its accomplishment requires a certain number of robots to be present in that place. The order for serving the tasks and firing count vectors for the model result from solving an Integer Linear Programming optimization. Structural properties of the Petri net model allow us to develop an algorithm that produces robot strategies composed from movements, waiting and task serving.
In order to investigate the cases in which an externally positive discrete-time system fails to have a minimal positive realization, in this paper we introduce the notion of minimal eventually positive realization, fo...
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ISBN:
(纸本)9781479978878
In order to investigate the cases in which an externally positive discrete-time system fails to have a minimal positive realization, in this paper we introduce the notion of minimal eventually positive realization, for which the state update matrix becomes positive after a certain power. This property captures the idea that in the impulse response of an externally positive system the state of a minimal realization may fail to be positive, but only transiently. It is shown in the paper that whenever a minimal eventually positive realization exists, then the sequence of Markov parameters of the impulse response admits decimated subsequences for which minimal positive realizations exist and can be obtained by downsampling the eventually positive realization.
This paper studies one particular aspect of providing communication security: firewall technology. This article provides a security framework in the form of packet filtering model within the firewall technology system...
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ISBN:
(纸本)9781509008896
This paper studies one particular aspect of providing communication security: firewall technology. This article provides a security framework in the form of packet filtering model within the firewall technology system and its components can be designed and evaluated. This paper introduces a reference model based on packet filtering firewall technology. All components are governed by a centralized security policy and they can be deployed in a distributed fashion to achieve scaling. This packet filtering firewall design is proven technology that provides confidentiality, integrity and availability in own information and network resources. The required design implement to set-up packet filtering firewall for network to protect and unauthorized access to our network. We describe the filtering process design depends on its underlying network technologies. The resulting security mechanism can be used as a bastion-host in the construction of firewall system.
This paper presents an open-source Matlab-based interactive software tool for teaching mobile robotics in introductory courses. In particular, it deals with the subjects: modeling, path planning, and motion control. T...
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This paper presents an open-source Matlab-based interactive software tool for teaching mobile robotics in introductory courses. In particular, it deals with the subjects: modeling, path planning, and motion control. This simulator offers the advantage of testing different aspects related to these fundamental topics and instantly seeing the result in a Graphical User Interface (GUI). This fact leads to a high realism in interactivity, while no previous knowledge in Matlab or programming is required. Additionally, it constitutes an easily scalable tool, the GUI has been properly designed with just one single window with straightforward and intuitive buttons, icons, and figures. Some illustrative examples demonstrate the benefits of the proposed simulator.
The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the...
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The paper proposes a simple Takagi-Sugeno PI-fuzzy controller for an anaerobic digestion process. A fifth order nonlinear model of the anaerobic digestion process is first presented. A second order linear model of the process is next proposed, and the parameters of the linear model are obtained from an optimization problem solved by a Gravitational Search Algorithm. A PI controller is designed for the linear process model using a frequency domain approach in terms of imposing the phase margin. The Takagi-Sugeno PI-fuzzy controller is designed on the basis of the linear PI controller. The Takagi-Sugeno PI-fuzzy controller is validated by simulation using the nonlinear process model in the fuzzy control system.
In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place...
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ISBN:
(纸本)9781467371605
In this paper, an adaptive control approach is proposed for performance of constrained robot end-effector movements in presence of uncertainty. In real-world scenarios, complex physical phenomena occuring at the place of interaction may introduce nonlinearities in the system dynamics, which have to be taken into account for proper system control. We currently propose an Extremum Seeking (ES) Model Reference Adaptive control (MRAC) approach for state tracking of multiple-input multiple-output systems which enclose nonlinearities in their dynamics and involve parametric uncertainty by employing Adaptive Dynamic Inversion (ADI). According to ADI, system nonlinearities are assumed known and are taken into account in the design of the system control law. The proposed scheme is based on MRAC and ADI while the unknown controller parameters are adapted by ES control. The system is shown to achieve global and asymptotic reference state tracking under the proposed control law by performing Lyapunov and averaging analysis. The approach is evaluated in simulation and in an experimental robot task.
This paper describes the implementation of a surveillance, monitoring and teleconference system used by the TELEDIM telemedicine system. Windows tablets and smart phones are used to capture audio and video data and se...
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This paper describes the implementation of a surveillance, monitoring and teleconference system used by the TELEDIM telemedicine system. Windows tablets and smart phones are used to capture audio and video data and send them through an ad-hoc wireless internet network to surveillance servers.
Many robot planning approaches use cell decomposition methods for finding a sequence of regions that the robot should traverse. When a fully-actuated robot is used, the robot reference trajectory is simply constructed...
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Many robot planning approaches use cell decomposition methods for finding a sequence of regions that the robot should traverse. When a fully-actuated robot is used, the robot reference trajectory is simply constructed by linking through line segments the middle points of common facets of successive traversed cells. This paper improves this approach by proposing three different optimizations that yield the waypoints through which the robot piecewise linear route is passing. The optimizations use different metrics defined as sums of norms for the linear segments that compose the route. The norms L 1 , L 2 squared and L ∞ are used and standard optimization problems result in each case. Examples are included for showing the usefulness of these optimizations, since shorter routes can be obtained under a negligible computational overhead.
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