The Experts below are selected from a list of 49038 Experts worldwide ranked by ideXlab platform

Rod Barman - One of the best experts on this subject based on the ideXlab platform.

  • real time control of soccer playing robots using off board vision the dynamite testbed
    Systems Man and Cybernetics, 1995
    Co-Authors: Michael K Sahota, Alan K Mackworth, Stewart Kingdon, Rod Barman
    Abstract:

    The dynamite testbed has been constructed for experiments with autonomous mobile robots. It consists of a fleet of radio-controlled vehicles that receive commands from a Remote Computer. All the robots share an off-board vision system that tracks the position and orientation of each robot at 60 Hz. A novel aspect of this system is that Computer vision is used not only for sensing the environment, but also for sensing the state of the robot itself. The former information is used for planning and the latter for control. The testbed has been used successfully for experiments with robot soccer games to compare the effectiveness of alternate control architectures. Testbed use is facilitated through a graphical simulator that allows control programs to be tested off-line at a workstation. The testbed has been developed to the point where we now have a portable version that has been demonstrated at a number of conferences.

Domenico Prattichizzo - One of the best experts on this subject based on the ideXlab platform.

  • kct a matlab toolbox for motion control of kuka robot manipulators
    International Conference on Robotics and Automation, 2010
    Co-Authors: Francesco Chinello, Stefano Scheggi, Fabio Morbidi, Domenico Prattichizzo
    Abstract:

    The Kuka Control Toolbox (KCT) is a collection of MATLAB functions for motion control of KUKA robot manipulators, developed to offer an intuitive and high-level programming interface to the user. The toolbox, which is compatible with all 6 DOF small and low payload KUKA robots that use the Eth.RSIXML, runs on a Remote Computer connected with the KUKA controller via TCP/IP. KCT includes more than 30 functions, spanning operations such as forward and inverse kinematics computation, point-to-point joint and Cartesian control, trajectory generation, graphical display and diagnostics. The flexibility, ease of use and reliability of the toolbox is demonstrated through two applicative examples.

Bassant Mohamed Elbagoury - One of the best experts on this subject based on the ideXlab platform.

  • Remote Computer aided breast cancer detection and diagnosis system based on cytological images
    IEEE Systems Journal, 2014
    Co-Authors: Yasmeen George, Hala H Zayed, Mohamed Roushdy, Bassant Mohamed Elbagoury
    Abstract:

    The purpose of this study is to develop an intelligent Remote detection and diagnosis system for breast cancer based on cytological images. First, this paper presents a fully automated method for cell nuclei detection and segmentation in breast cytological images. The locations of the cell nuclei in the image were detected with circular Hough transform. The elimination of false-positive (FP) findings (noisy circles and blood cells) was achieved using Otsu's thresholding method and fuzzy c-means clustering technique. The segmentation of the nuclei boundaries was accomplished with the application of the marker-controlled watershed transform. Next, an intelligent breast cancer classification system was developed. Twelve features were presented to several neural network architectures to investigate the most suitable network model for classifying the tumor effectively. Four classification models were used, namely, multilayer perceptron using back-propagation algorithm, probabilistic neural network (PNN), learning vector quantization, and support vector machine (SVM). The classification results were obtained using tenfold cross validation. The performance of the networks was compared based on resulted error rate, correct rate, sensitivity, and specificity. Finally, we have merged the proposed Computer-aided detection and diagnosis system with the telemedicine platform. This is to provide an intelligent, Remote detection, and diagnosis system for breast cancer patients based on the Web service. The proposed system was evaluated using 92 breast cytological images containing 11502 cell nuclei. Experimental evidence shows that the proposed method has very effective results even in the case of images with high degree of blood cells and noisy circles. In addition, two benchmark data sets were evaluated for comparison. The results showed that the predictive ability of PNN and SVM is stronger than the others in all evaluated data sets.

Qiaoying Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Energy-Saving and Management of Telecom Operators’ Remote Computer Rooms Using IoT Technology
    IEEE Access, 2020
    Co-Authors: Liang Zhao, Jiahui Zeng, Qiaoying Zhao
    Abstract:

    In order to achieve the energy saving and management, this article proposes an IoT-based energy-saving and management system for Telecom operators' Remote Computer rooms (RCRs). Firstly, a management system based on IoT technology for RCRs is designed. By using technologies such as embedded systems, sensor technology and Java Web, this system realizes equipment management and real-time data visualization of RCRs. Then, a simple but effective air conditioner energy-saving algorithm, called ET algorithm, is developed. Without causing high investment cost, ET algorithm minimizes the energy consumption of air conditioners which accounts for nearly 40% of total consumption, and thus improves the overall energy efficiency of RCRs. Moreover, the proposed system has been implemented at many Telecom operators' RCRs distributed at different regions in Guangdong Province of China, and stably operating for more than two years. Experimental results show that the proposed system not only effectively manages and monitors RCRs, but also achieves 16.64% energy-saving effect.

Michael K Sahota - One of the best experts on this subject based on the ideXlab platform.

  • real time control of soccer playing robots using off board vision the dynamite testbed
    Systems Man and Cybernetics, 1995
    Co-Authors: Michael K Sahota, Alan K Mackworth, Stewart Kingdon, Rod Barman
    Abstract:

    The dynamite testbed has been constructed for experiments with autonomous mobile robots. It consists of a fleet of radio-controlled vehicles that receive commands from a Remote Computer. All the robots share an off-board vision system that tracks the position and orientation of each robot at 60 Hz. A novel aspect of this system is that Computer vision is used not only for sensing the environment, but also for sensing the state of the robot itself. The former information is used for planning and the latter for control. The testbed has been used successfully for experiments with robot soccer games to compare the effectiveness of alternate control architectures. Testbed use is facilitated through a graphical simulator that allows control programs to be tested off-line at a workstation. The testbed has been developed to the point where we now have a portable version that has been demonstrated at a number of conferences.