BLDC motors are used in various industries due to their efficiency, reliability and controllability. Among these applications, electric and hybrid vehicles, robotics and automation systems, residential electronics, aerospace industries, medical equipment, wind turbines and solar systems can be mentioned. In many of these applications, dynamic motor speed control is needed. In this paper, due to the importance of the subject, at first, by applying the PLECS software and using the PWM method along with the PID controller, the simulation of the dynamic speed control of the BLDC motor with dynamic speed references is performed, and then, the experimental implementation of the BLDC motor drive using Arduino Mega microcontroller board, in the conditions of dynamic changes of speed references, is accomplished and the corresponding results are presented. Labview software is used to display and record speed data on the computer. The simulation and experimental results show that the BLDC motor has good efficiency in tracking the dynamic speed references up to the dynamic frequency of 0.3 Hz.

Nowadays recording the performances and body activities of the athletes during the exercises and the matches have noticeable importance which is the reason for growth of the sports wearable’ s technology, for the past few years. Accordingly, we designed new wearable equipment on the basis of internet of things, using Arduino boards and different kind of sensors for recording the performance and physical activities of the athletes. The process data of the sensors are available in real time and could be displayed in the PC through the internet connection which makes the coach capable of analyzing the performance of the athlete during or after the activity. The weight of this equipment is less than 100 gr and works with a frequency of 5 Hz (the data will be updated every 200 ms). The advantages of the designed equipment comparing to similar imported ones are the smaller size and the less ultimate cost.

Today Mega-university, Mega-school, and Mega-teachers by using of educational technology can be concerned to people who are interested to medical education. Mega-schools increase the quality of education in medical sciences by creating collaborative, educational, and therapeutic content along with gamified exercises on a completely independent platform, consisting of students, professors, and university administrators.

This study presents the kinematic analysis of a four-degree freedom medical robotic arm using the Matlab and the robotic-tool, the arm was designed using a solid work program, As well as details of the control of the real design of this arm using Arduino Mega 2560, The specialist enters the position to be reached by the automatic arm (injection position), Or moving the arm to any position by entering the values of the corners of the joints, In this search, we have moved the arm to the selected position Without injecting into the muscle which need another study and a medical sensor determines the amount of needle entry in the muscle, According to criteria determined by the specialist and can be added to the designed interface.

Introduction: Yardangs due to intensive wind erosion are exclusive landforms on the earth's desert and possibly occur on Mars and Venus. The recent advances in the remote sensing technique and easily available of high resolution satellite data e.g. QuickBird provide useful information of remote area. Hence the Mega-yardangs with tens meter high and hundred meters long are easily identifiable on satellite images and their global distribution and properties can be mapped.The Lut desert (Dasht-e Lut) in the south east of Iran is described as the “thermal pole of the Earth” (Mildrexler et al., 2006). With an area of about 80, 000 square km it is regarded to the hottest and the driest desert in the world (Alavi Panah et al., 2007; Gabriel, 1938; Mildrexler et al., 2006).Yardangs are streamlined forms up to 150 km long and 75 m in height resulting from a number of formative processes, including wind abrasion, deflation, fluvial incision, desiccation cracks, slumping, weathering and mass movement (Goudie, 2007; McCauley et al., 1977; Ward and Greeley, 1984). A limited number of morphometric investigations have been done on yardangs. Goudie (2007) identified Mega-yardangs in hyper-arid environments with total rainfall less than 50 mm including central Asia, the Lut desert in Iran, northern Saudi Arabia, Bahrain, the Libyan Desert in Egypt, the central Sahara, the Namib desert, the high Andes and Peruvian desert. According to Goudie, these features develop in a wide range of rock types e.g. sandstones, ignimbrites, limestones and basement rocks by a relatively unimodal wind direction.Materials and Methods: In this study 3 arc second DEM of version 3.0 SRTM data (~90 m) with geographic projection acquired was used. That was re-projected to UTM grid with WGS 84 Datum.We used 90 m DEM produced from version 3 SRTM 3 arc second data and the SOM algorithm for identification of yardangs in the western part of Lut desert. Self-Organizing Map (SOM) is an unsupervised and nonparametric artificial neural network algorithm that clusters high dimensional input vectors into low dimensional (usually two dimensional) output map which preserve topology of the input data. In geomorphic studies of landscapes, the first and second order derivatives of DEM are the basic components for morphometric analysis (Evans, 1972). The second order derivatives of DEM are affected by geomorphological processes (Evans, 1972; Wood, 1996 b). To calculate the morphometric features, a local window is passed over the SRTM DEM and the change in gradient of a central point in relation to its neighbors is derived by a bivariate quadratic function. Wood (1996 a) defined a set of criteria to classify DEMs into morphometric classes. Yardang identification and analysis in the study area was performed using the parameters proposed by Wood (1996 a). A local window of 5x5 is passed over the DEM and slope, cross- sectional curvature, maximum and minimum curvatures are derived by fitting a bivariate quadratic approximation surface. The derived morphometric parameters were used as an input to SOM.Frequency histograms and average quantization error of the results are compared. Two dimensional plots of mean values of morphometric parameters (feature space), oblique views of map units draped over the DEM, Landsat ETM+ data and high resolution Quick Bird images were used to study the Mega yardangs in other places than Iran.Results and Discussion: Learning of the SOM was performed with four morphometric parameters as the inputs and a two-dimensional output of 10 neurons. The map with initial radius of 3, final neighborhood radius of 0.01 and 1000 iterations shows the best performance for yardang identification. The output map units from SOM are just numbers and need to be analyzed and interpreted. Studying the spatial relationship between different map units along with their morphometric parameters using feature space analysis allowed us to interpret and label them corresponding to morphometric features e.g. yardangs. Major morphometric features (corridor, planar and yardang) are identified in two-dimensional feature space plots of mean values of maximum curvature (x-axis) and minimum one (y-axis). The analysis of the results and corresponding satellite images shows the effectiveness of the method to identify the overall pattern of the morphometric features in the Lut desert. It is clear that the pattern of yardangs and their corridors running from NNW to SSE direction is parallel to the prevailing wind known as “wind of 120 days or Bad-i-sad-o-bist rooz-e Systan.Conclusion: The results show that digital terrain analysis methods applied on SRTM in the proposed way in this study could extract morphotectonic features from SRTM along Dehshir fault and they contributed to the tectonic interpretation of the study area. According to the evidences extracted from SRTM along Dehshir fault, for example: fault traces, deflected and beheaded drainages, pattern of network drainages, erosion surfaces of uplifted and back erosion of drainages because of the location (situated in quaternary landforms), they are neotectonic evidences for activity of Dehshir fault during quaternary. Our results reveal that the morphometric analysis and feature space analysis of the first and second order derivatives of DEM such as slope, cross-sectional curvature, maximum curvature and minimum curvature led to the description of SOM outputs as yardangs, corridors and planar. Slope allows distinguishing among morphometric features in sub levels.The optimal self organizing map with suitable learning parameters should be selected for feature identification. The lowest average quantization error of 0.1040 was achieved with an initial radius of 3, a final neighborhood radius of 0.01 and 1000 iterations. Result of this method revealed that from the total 6481 km2 coverage of the study area, about 2035 km2 (34%) are classified as yardang while corridors, in total cover 2732 km2 (43%)

Open access Mega journals represent an increasingly important part of the scholarly communications. The current research aims to introduce eight international Mega journals and to investigate their performance in a five-year time span (2012-2016). The current study is an applied research in terms of objectives while it is a descriptive study in terms of data analysis and conducted using scientometric indicators. Research population comprised of 195011 articles published in eight Mega journals during 2012-2016 and indexed by the Web of Science. Data was collected using three products of the Clarivate Analytics, namely Web of Science, Journal Citation Reports as well as InCites. Data analysis was conducted using Microsoft Excel. Results of the study showed 101% growth in 2016 compared to 2012 with regard to publications in eight studied Mega journals. A total of 195011 articles have been published in eight Mega journals during 2012-2016. Considering article processing fees of each journal, we can assume that roughly 300 million USD has been charged by eight Mega journals. Papers published in Mega journals were found to have higher citation impact compared with the average of the Web of Science database. Results revealed that two Mega journals, namely PLoS One and Scientific Reports, were accountable for 91. 6% of total publications and 96. 1% of total citations. The highest share of publications in eight Mega journals was found to be in the following research categories: Biochemistry & Molecular Biology, Multidisciplinary Sciences, Neurosciences, Oncology and Immunology. Moreover, the US, China, the UK, Germany and Japan had the highest number of publications in eight studied Mega journals. Reputable publishers have identified a market demand for publication of scholarly output and are offering their services using open access Mega journals. The Mega journal market seems likely to keep increasing in the future.

This paper aims to establish an Arduino and IoT-based Hierarchical Multi-Agent System (HMAS) for management of loads’ side with incentive approach in a micro-grid. In this study, the performance of the proposed algorithm in a micro-grid has been verified. The micro-grid contains a battery energy storage system (BESS) and different types of loads known as residential consumer (RC), commercial consumer (CC), and industrial consumer (IC). The user interface on a smartphone directly communicates with the load management system via an integrated Ethernet Shield server which uses Wi-Fi communication protocol. Also, the communication between the Ethernet Shield and the Arduino microcontroller is based on Wi-Fi communication. A simulation model is developed in Java Agent Development Environment (JADE) for dynamic and effective energy administration, which takes an informed decision and chooses the most feasible action to stabilize, sustain, and enhance the micro-grid. Further, the environment variable is sensed through the Arduino microcontroller and sensors, and then given to the MAS agents in the IoT environment. The test results indicated that the system was able to effectively control and regulate the energy in the micro-grid.

Introduction Today, in modern agriculture, the use of agricultural machines is inevitable. the tire is the last part of the power transmission system, which plays an essential role in controlling the tractor and transferring the tractor's reaction to the soil. Tires used in agricultural implements and tractors should be able to transport appropriately and have sufficient adhesion and slip. Several parameters affect these abilities, including tire diameter and width, tire shape, tire tread modulus, tire pressure and load on the tire, with the last two parameters, tire pressure and load on the tire two very important factor is the tire and surface contact, the tire's contact between the tire and the ground, the tire's involvement in the direction of travel, as well as the tensile and fuel consumption of cars and motor vehicles. Given the fact that the tire pressures/load of agricultural machinery are less attractive to the users, Due to the many benefits that the use of electronic control systems. Due to the many benefits that the use of electronic control systems, Today, the use of electronic control technologies is considered as an innovation. the automatic tire pressure control system could ensure the pressure stability. Tire pressure drop is detected, and the system automatically refills the tire according to the tire pressure requirements. Therefore, the main aim of this paper is to set the tire pressure at the optimal value by designing an electronic control system for measuring and controlling tire pressure and evaluating the response speed of the system. Materials and Methods This research work is mainly aimed at designing a tire pressure control the tire pressure. BD pressure sensor, Arduino board, voltage/pressure regulator, 5-volt double-channel relay module was utilized. Moreover, Solenoid valve, rotary joint along with compressor and reservoir was employed for controlling tire pressure. In this paper, a laboratory tire pressure control system was designed which can operate in both manual and automatic modes. In automatic mode, a series of ideal pressure (P1) is defined as the soil type, and the driver selects an ideal pressure for the system. If the tire pressure (P0) differs from the set pressure point (P1), then the control unit determines a time duration (T1) for the decrease/increase the pressure level to achieve the optimal setpoint. Besides, a manual mode allows the system to provide a wide range of pressure for the driver depending on the terrain encountered. It is worthy of mentioning that the operation of the system in manual mode is the same as that of automatic mode. In this work, experiments were performed at three levels of output pressure (43. 5, 65. 2, 87 psi), two tire pressure reduction levels (20-16 and 16-12 psi), and two tire pressure increase levels (8-12 and 12-16 psi). The tests were laid out as a factorial in a completely randomized design with three replicates. Results and Discussion The ANOVA results indicated that the effect of reservoir outlet pressure on the timing function and tire pressure was significant at the level of 1% (p-value <0. 01), while the dual and triple impacts of the factors were not significant. The results also illustrated an increase in the speed of the system response at the output pressure of the reservoir of 87 psi. Also, two different scheduling functions were conducted to evaluate the speed of the system response to reduce the tire two levels of 20 to 16 and 16 to 12 psi. For this reason, two different scheduling functions were used. The ANOVA results indicate that the timing function and tire pressure level had a significant effect on the output parameters at the level of 1%. Furthermore, an increase in the speed of the system response in the second-order scheduling function was observed. Comparison of system performance with first and second time estimation functions at different reservoir pressures, as shown in Fig. 9, showed that the use of the second-order estimation function in all cases reduced the number of steps to reaching the desired pressure significantly. Conclusion According to the obtained results, it can be concluded that the replacement of the second-order scheduling function to control tire pressure, increased the speed of the system’ s response, which results in keeping the right pressure at all times very accurately.