Improved speed response of DC motor via intelligent techniques

The classical Proportional- Integral (PI) control for Direct Current (DC) motor causes slow response of actual speed with high overshoot and undershoot which leads to sluggishness of the system. To minimize the problem of PI controller, intelligent technique based on hybrid neural network sliding mode control NN-SMC is suggested.  The benefits of SMC are that it is simple, and tough to parameter deviations as compared with other controllers. In this paper, the neural network NN is used to minimize the error between reference speed and actual speed. In addition, the SMC aim is to control and optimize the voltage that is supplies the DC motor which guarantees the robust performance of the speed controller under disturbances. The proposed method for the speed control is first calculated and executed to DC motor by using MATLAB SIMULINK. The results of the suggested NN-SMC are compared with the traditional PI controller. The results obviously show the supremacy of NN-SMC over PI controller

Optimization of efficiency for power system using three phase AC to AC matrix converter with the algorithm of fuzzy controller

This paper suggested a new contribution of three phase AC to AC matrix converter MC via fuzzy logic controller FLC to enhance the whole system. However, the weakness of matrix converter is that the input- output voltage transfer is control to 87% for input and output waveform. Also, matrix converter is more sensitive to the trouble of input voltage which deteriorates the system performance. To overcome these problems, and to improve the efficiency of system, FLC with matrix converter is proposed to minimize the sensitivity to the load, and to increase voltage transfer. In this paper the currents a,b,c are converted to alpha and beta current via Clarke transformation . In this method two FLC are used. The error (between alpha current and reference current) (e) and the change of this error (de) will apply to first FLC. The output of FLC is actual alpha current. In the other hand, the error of beta current and the change of error are also passes through the second FLC to produce the actual beta current. The actual alpha and beta current is converted to direct and quadrature d-q current by park transformation. The d-q current is converted to (a, b, c) out currents by inverse park transformation, the results of this method express that the matrix converter with FLC is more capable, high accuracy with better efficiency as compared with conventional matrix converter system

The Effect of Age and Gender on Fetuin-A and Some Biochemical parameters in Blood Sera of Iraqi patients with T2DM: A comparative study

The serum protein test includes measurement of the level of total protein(albumin, globulin). Fetuin-A is a blood protein made in liver. It can inhibit insulin receptor, enhance insulin sensitivity and make the individuals more likely to develop type 2 diabetes, then disorder in lipid profile (Total cholesterol(TC), low density lipoprotein cholesterol (LDL-c), high density lipoprotein cholesterol (HDL-c), Triglyceride(TG) and very low density lipoprotein cholesterol (VLDL-c) . To evaluate Fetuin-A, total protein, albumin, globulin, HbAlc and lipid profile in 200 adult and elderly Iraqi patients with type 2 Diabetes Mellitus were taken and compare them with 200 subjects as a healthy control. The laboratory analysis(for patients and control ) were performed to determine these parameters .The results show that FBG. HbA1c, Lipid profile for (patients and control) (except HDL-c) were increase with age with a significant difference (p0.05) between male and female. Serum total protein, globulin, Fetuin-A, increase with age while albumin decrease with age(in patients and control)

Optimization of transmission signal by artificial intelligent

In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance.  RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices

Psychometric properties of Persian version of midwives' attitudes and beliefs questionnaire toward physiological childbirth

Introduction: Since attitudes and beliefs can predict behavior, policy, and performance of an individual, so the midwives' attitudes and beliefs toward labor and delivery can also affect their caring behavior and performance, and the prenatal consequences of the mother and neonate. And the baby is effective. There was no suitable Persian tool to measure the attitude and belief of midwives toward physiological delivery, so this present study was performed with aim of translating and psychometric evaluation of the Persian version of the questionnaire of attitude and belief of midwives toward physiological delivery. Methods: This methodological study was performed on 200 midwives working in the selected hospitals of Tehran University of Medical Sciences in 2018. The midwives were asked to complete a demographic questionnaire and midwives' attitudes and beliefs questionnaire toward physiological childbirth. At first, the face and content validity of the questionnaire was performed qualitatively. Then, construct validity was performed by confirmatory factor analysis. The reliability of the questionnaire was confirmed by stability reliability method and internal consistency. Results: The face validity and qualitative content of the questionnaire of midwives' attitudes and beliefs toward physiological childbirth were confirmed. Also, confirmatory factor analysis by estimating weight Partial Least Squares showed that the Persian version of this questionnaire has a suitable structure. In order to determine the reliability, the Cronbach's alpha coefficient was estimated as 0.68 to 0.733 for domains of the tools and the Intra-class correlation coefficient was 0.78; both of which indicated good reliability of the Persian version of the questionnaire. Conclusion: Persian version of the questionnaire of midwives' attitude and belief toward physiological childbirth is valid and reliable and can be used as an appropriate instrument for assessing the attitude and belief of midwives toward physiological childbirth in Iran. © 2020, Mashhad University of Medical Sciences. All rights reserved

Digital dice / Mohd Farahan Mond Anuar and Saifull Bahri Muerkan

Final project is a part of course structure as a fulfill for students in their final year. The project is compulsory to us as a final year student for course Diploma In Electrical Engineering, The purpose of this project is to produces a student a main power with a very high skill and able to handle a responsibility given like a project. They should prepare to deliver a creativity ideas and good interpersonal image to their future employer. It can make students used all of their knowledge, creative and skill to purpose, create and trouble shoot the project. It is because all of the theory and skills, they have learned from the project 1 and project 2 are used. As the time change, the way of life is also change with them. Nowadays the rapid changes as quality of life require new technologies so as to fixed with them The main purpose of this project is actually based on the needs of some peoples nowadays to overcome obstacle in their everyday life. This project replace a traditional dice into digital dice. The display is connected to the receiver circuit. When receiver circuit received a signal from transmitter, the display will show the rotation number between 1 until 9 is continuously when the switch is pressed ( on). The number will stop randomly when is release ( off). Therefore, This project could be taken as a game dice like a DAM CINA, DAM ULAR or the total movement in a board game. So, we expect that it can be alter and convert it to a children game in the future

Nonlinear dynamic analysis of a four-bar mechanism having revolute joint with clearance

In general, joints are assumed without clearance in the dynamic analysis of multi-body echanical systems. When joint clearance is considered, the mechanism obtains two uncontrollable degrees of freedom and hence the dynamic response considerably changes. The joints’ clearances are the main sources of vibrations and noise due to the impact of the coupling parts in the joints. Therefore, the system responses lead to chaotic and unpredictable behaviors instead of being periodic and regular. In this paper, nonlinear dynamic behavior of a four-bar linkage with clearance at the joint between the coupler and the rocker is studied. The system response is performed by using a nonlinear continuous contact force model proposed by Lankarani and Nikravesh [1] and the friction effect is considered by a modified Coulomb friction law [2]. By using the Poincaré portrait, it is proven that either strange attractors or chaos exist in the system response. Numerical simulations display both periodic and chaotic motions in the system behavior. Therefore, bifurcation analysis is carried out with a change in the size of the clearance corresponding to different values of crank rotational velocities. Fast Fourier Transformation is applied to analyze the frequency spectrum of the system response

A comprehensive survey of the analytical, numerical and experimental methodologies for dynamics of multibody mechanical systems with clearance or imperfect joints

"Available online 19 December 2017"A comprehensive survey of the literature of the most relevant analytical, numerical, and experimental approaches for the kinematic and dynamic analyses of multibody mechanical systems with clearance joints is presented in this review. Both dry and lubricated clearance joints are addressed here, and an effort is made to include a large number of research works in this particular field, which have been published since the 1960′s. First, the most frequently utilized methods for modeling planar and spatial multibody mechanical systems with clearance joints are analyzed, and compared. Other important phenomena commonly associated with clearance joint models, such as wear, non-smooth behavior, optimization and control, chaos, and uncertainty and links’ flexibility, are then discussed. The main assumptions procedures and conclusions for the different methodologies are also examined and compared. Finally, future developments and new applications of clearance joint modeling and analysis are highlighted.This research was supported in part by the China 111 Project (B16003) and the National Natural Science Foundation of China under Grants 11290151, 11472042 and 11221202. The work was also supported by the Portuguese Foundation for Science and Technology with the reference project UID/EEA/04436/2013, by FEDER funds through the COMPETE 2020 – Programa Operacional Competitividade e Internacionalização (POCI) with the reference project POCI-01-0145-FEDER-006941.info:eu-repo/semantics/publishedVersio

9-DOF IMU-Based Attitude and Heading Estimation using an Extended Kalman Filter with Bias Consideration

The attitude and heading reference system (AHRS) is an important concept in the area of navigation, image stabilization, and object detection and tracking. Many studies and works have been conducted in this regard to estimate the accurate orientation of rigid bodies. In most research in this area, low-cost MEMS sensors are employed, but since the system’s response will diverge over time due to integration drift, it is necessary to apply proper estimation algorithms. A two-step extended Kalman Filter (EKF) algorithm is used in this study to estimate the orientation of an IMU. A 9-DOF device is used for this purpose, including a 6-DOF IMU with a three-axis gyroscope and a three-axis accelerometer, and a three-axis magnetometer. In addition, to have an accurate algorithm, both IMU and magnetometer biases and disturbances are modeled and considered in the real-time filter. After applying the algorithm to the sensor’s output, an accurate orientation as well as unbiased angular velocity, linear acceleration, and magnetic field were achieved. In order to demonstrate the reduction of noise power, fast Fourier transform (FFT) diagrams are used. The effect of the initial condition on the response of the system is also investigated