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Noise eliminating from an image is a significant task in biomedical images, which the noise could make to less error recognition. Filtering employing of a device for noise elimination is disturbed in this work. The determination is to compare different filters effectiveness - Median Filter (MF), Gaussian and Wiener filters. Image segmentation is very significant in digital image processing and lets automatic detection of the particulars of matters in central zones. This ability has a significant part to perform in resolving various challenging problems, mainly problems associated with several diseases, for instance, skin tumours. To reach an active technique to distinguish skin tumuors premature without doing needless skin biopsies, skin tumours images segmentation for lesions has been inspected with MF. We confirm our designs on synthetical images representing typical analysis and modelling to evaluate the constructions and display proof-of-concept outcomes on real biomedical images with various filters segmentation.

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Abstract. Slow reaction owing to fixed-step change, high ripple, and increased oscillation due to swings around maximum power point are the main drawbacks of conventional Maximum Power Point Tracking (MPPT). This study proposes a hybrid MPPT control to address these concerns .In this study we used the Extremum Seeking Control(ESC) based on a metaheuristic Archimedes Optimization Algorithm (AOA) to achieve MPPT in PV panels under non-uniform conditions. Two parameters of the extremum-seeking control is tuned using the Archimedes optimization algorithm. The proposed system parameters is examined by simulation using MATLAB/Simulink. According to the simulation results, the proposed MPPT effectively achieves the MPP under any non-uniform situation with less overshoot, oscillation and ripple compared to traditional MPPT. The suggested MPPT has an efficiency of up to 99.65%.

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Modern dermatology distinguishes premature diagnosis for example an important part in reducing the death percentage and promising less aggressive treatment for patients. The classifications comprise various stages that must be selected suitably using the characteristics of the filter pointing to get a dependable analysis. The dermoscopic images hold challenges to be faced and overcome to enhance the automatic diagnosis of hazardous lesions. It is calculated to survey a different metaheuristic and evolutionary computing working for filter design systems. Approximately general computing techniques are observed to improve features of infect design method. Nevertheless, the median filter (MF) is normally multimodal with respect to the filter factors and so, reliable approaches that can provide optimal solutions are required. The design of MF depends on modern artificial swarm intelligence technique (MASIT) optimization algorithm which has proven to be more effective than other population-based algorithms to improve of estimation stages for segmentation skin lesions. A controlled artificial bee colony (ABC) algorithm is advanced for solving factors optimization problems and, also the physical-programming-depend on ABC way is applied to proposal median filter, and the outcomes are compared to another approaches. T

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Abstract: - Kinect sensor suggestions new viewpoints for the advance and application of inexpensive, portable and easy-to-use indication less motion capture skill. The goal of this work is to estimate accuracy of the Kinect cameras for full body motion investigation. This study developed an application that of using multiple depth and RGB Kinect sensors for that reasonable system that prepared with multi-depth of sensing was used in this work. Additional application confirmed the Kinect camera validity the evaluated of postural control and different images of biomedical for segmentation skin lesions. In this work, multi-depth assessment and segmentation are conjointly addressed using RGB input image under Median filter with postprocessing. Compared with our algorithm outputs an organized-to-use highly suitable for creating 3D Kinect sensors with pre and post-processing steps. The multi-depth extracted image features have higher measurement and accuracy. The results are dealing out the depth and RGB picture with segmentation evaluation depend on feature extraction technique to enhance accuracy.

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Abstract: Permanent Magnet Synchronous Motors (PMSM) can be utilized directly in place of the Induction Motors (IM) for several industrial applications, since, it is characterized by high efficiency, high power factor and high power compared to IM. Generally, PMSMs are high power compared currently utilized in applications which necessitate fast torque response as well as higher-performance operation of the machine. In order to achieve such features, various control techniques including Vector Control (VC)!Field Oriented Control (FOC) and Direct Torque Control (DTC) are utilized. This study presents simulation of these respective methods to comprehend the impact of each technique on dynamic performance of permanent magnet synchronous motors. MATLAB /Simulink environment has been used to implement this study under dynamic response. In this study, the behavior of PMSM will be studied under the above methods by using the MATLAB/Simulink environment.

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Abstract In this research many tests are accomplished to different types of variable structure controller which operated by sequence timing period. A second and third order control systems are used as a mathematical fundamental to analysis the controller under test. It is found that the proper choosing of arrangement alteration between the structures S1 and S2 is achieved by using the proportional or the proportional-integral controllers separately. This will lead to treatment the steady state error and increasing the stability of control system. Also, the efficiency of the control system will be increased depending on some types of switches such as Rss or Iss which are defined by Vss value and exterior disturbances as shown in the design of robot arm and electric lifts. In this work, we found that depending on the type of switch, the control system may fail in disturbances and a steady state error treatment that is result in a fail in alteration between the two structures S1 and S2 of the control system. This will give unsatisfactory response of the control system. Best results are achieved by using intelligent control system where the information is compared by using a feedback system.

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Abstract: The designed circuit in this research is measured several types of noise and it’s analysis, reduction and amplification of received signal value by using the detection system type Field Effect Transistor (FET Tr) the aim of using this type of amplifier in designed system because of it’s efficient matching between input and output impedance, this will increase performance in detection of signal and noise. Also, all equations that help in calculation of noise voltage and noise current are derived and effect of bias resistance and capacitance of detector also was studied. Research study shows that the preamplifier noise is primarily influence by the first stage noise provided that the gain of that stage is large (Kt=8.87), total noise voltage to detection system (En T=3.314 nV), total noise current (InT=5.41 fA), noise figure (NF=0.0093 dB) at optimum source resistance and the detector resistance (2.5 MΩ) photoconductive type.

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Abstract Aircraft convention defines the attitude parameters in terms of three angles: roll, pitch and heading. These angles are referenced to the local horizontal plane defined by gravity vector. Attitude information for aircraft is obtained by using spinning rotor or ring laser gyroscopes. These systems are very precise but they suffer from many problems such as high cost, large size and weight and the requirements for elaborate and intricate mechanical structure. These problems can be reduced by the exploitation of the micromachined technology. In this work, an attitude measuring system based on the ADXL202 accelerometer, the HMC2003 magnetic sensor and the ADuC812 microcontroller has been designed and implemented. An algorithm for decoding of the ADXL202 output signals is described and implemented as software programs written in C-language to perform and display the attitude measurements and a correction method for the errors introduced by tilt angles is described. The measuring system operation is examined by the test of the reading’s repeatability and constancy. A good repeatability and constancy with a high degree of precision and small amounts of error and dispersion are found from these tests.