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      • A Novel Model for Smart Breast Cancer Detection in Thermogram Images

        Kazerouni, Iman Abaspur,Zadeh, Hossein Ghayoumi,Haddadnia, Javad Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.24

        Background: Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermographic images. The new method of thermographic image analysis for automated detection of high tumor risk areas, based on two-directional two-dimensional principal component analysis technique for feature extraction, and a support vector machine for thermographic image retrieval was tested on 400 images. The sensitivity and specificity of the model are 100% and 98%, respectively.

      • Design FPGA-Based Chattering-free Sliding Mode Controller for PUMA Robot Manipulator

        Mahsa Piltan,Abdolwahab Kazerouni,Ali Rafie 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

        Design of a robust controller for multi input-multi output (MIMO) nonlinear uncertain dynamical system can be a challenging work. This research focuses on the design and analysis of a high performance chattering free PD plus PD partly sliding mode controller in presence of uncertainties. In this research, sliding mode controller is a robust and stable nonlinear controller, which selected to control of robot manipulator. The proposed approach effectively combines of design methods from switching sliding mode controller, and linear Proportional-Derivative (PD) control to improve the performance, stability and robustness of the sliding mode controller. To reduce the chattering with respect to stability and robustness; linear controller is added to the switching part of the sliding mode controller. The linear controller is to reduce the role of sliding surface slope and switching (sign) function. To improve the flexibility, design high speed and low cost controller, micro-electronic device (FPGA-Based) controller is introduced in this research. The proposed design is 30-bits FPGA-based controller for inputs and 35-bits for output. All joints of robot are used to test the controller in simulation environments, using VHDL code for the purpose of simulation in Xilinx. The maximum frequency in FPGA-based design is about 63.6 MHz and the delay time in this design is about 15.7 ns. It is observed that this controller is able to make as a fast response at 15.716 clock period with 63.6 of a maximum frequency and 4.407 for minimum input arrival time after clock. From investigation and synthesis summary, 30.286 for maximum input arrival time after clock with 33.018 frequencies, this design has 15.716 delays for each controller to 46 logic elements and the offset before CLOCK is 55.773 for 132 logic gates.

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