Fish farms are one of the most important sources of profitability for farmers. Therefore, these farms must be cared for and monitored continuously. the paper discuss  a smart system monitoring in a new way that we designed to monitor the quality and temperature of the fish pond’s water. This system has been designed and implemented to measure and monitor the pH and the temperature value of the fish pond’s water in real time. The system is divided into a measuring and monitoring part. The measuring part uses Arduino UNO as a microcontroller to measure the pH and temperature from the sensors. The data is then sent to the second part by Bluetooth. The second part (the monitoring part), is a new  application for smartphone  designed by ‘MIT App Inventor 2’, which monitors the status of the full system. The ‘MIT App Inventor 2’ is a google software (opensource) that enables you to easily build an Android application. The main advantage of this system is its ability to monitor the fish farms from long distances, with low cost and high reliability.

The technology advancement in Distributed Generations (DG) has significantly influenced the environmental pollution. In power system, more especially in distribution networks, DGs can able to mitigate the total losses of the network which effectively has significant effects on environmental pollution. Optimal location and size of DG in distribution networks is one of the important issues of the power system. This paper aims to investigate the best solution for optimal operation of distribution networks by taking into consideration of DG. The optimal allocation of DG can be considered as an integer problem that can be formulated by metaheuristic methods. In this paper, the Particle Swarm Optimization (PSO) algorithm has been used to solve the DG placement and sizing. The IEEE 34 bus test system has been utilized to demonstrate the effectiveness of the PSO algorithm on herein mentioned problem. The result illustrates the losses minimization and voltage profile improvement.

Abstract-This paper presents an LQR-Based 6DOF control of an unmanned aerial vehicles (UAV), namely a small-scale quadrocopter. Due to its high nonlinearity and a high degree of coupling system, the control of an UAV is very challenging. quadrocopter trajectory tracking in a 3D space is greatly affected by the quadrocopter balancing around its roll-pitch-yaw frame. Lack of precise tracking control about the body frame may result in inaccurate localization with respect to a fixed frame. Thus, the present paper provides a high dynamic control tracking balancing system response. An integral LQR-based controller is proposed to enhance the dynamic system response balancing on roll, pitch and yaw. The control on the hovering angles consists of two-cascaded loops. Namely, an inner loop for the angular speed control of each angular motion around the body frame axes, and an outer loop for the desired position control. In general, the proposed balancing control system on roll, pitch and yaw, has six control loops. The proposed control approach is implemented utilizing an embedded ATMega2560 microcontroller system. Practical results obtained from the proposed control approach exhibits fast and robust control response and high disturbance rejection.

In this paper, two optimization methods are used to adjust the gain values for the cascade PID controller. These algorithms are the butterfly optimization algorithm (BOA), which is a modern method based on tracking the movement of butterflies to the scent of a fragrance to reach the best position and the second method is particle swarm optimization (PSO). The PID controllers in this system are used to control the position, velocity, and current of a permanent magnet DC motor (PMDC) with an accurate tracking trajectory to reach the desired position. The simulation results using the Matlab environment showed that the butterfly optimization algorithm is better than the particle swarming optimization (PSO) in terms of performance and overshoot or any deviation in tracking the path to reach the desired position. While an overshoot of 2.557% was observed when using the PSO algorithm, and a position deviation of 7.82 degrees was observed from the reference position.

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An Arduino microcontroller has been used for many projects since its first presentation in 2005. This integrated chip used with a variety of sensors to construct many attractive projects and circuits. In this paper, we aim to investigate the resolution ability of one of the famous sensors attached to the Arduino which is called the ultrasonic HC-SR04 sensor. This sensor basically, is made from a transmitter and receiver that work in the sonar range of frequencies. It is used to indicate the distance of objects similar to the Radar principle. By experimental results another feature could be added to the data sheet of this sensor, named as distance resolution. By applying a reasonable shape and dimension for the target objects at a distance of 11 cm, the experimental results show that this sensor has resolution ability configured in the range of 7 cm displacement between two adjacent objects. Furthermore, the paper suggests increasing the sensor aperture to increase such ability for certain application that used the sensor for discrimination between adjacent objects.

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The Meteorological conditions could be with high importance for many applications. Even this information is available in many media resources, but they are not measured for a certain position. In this paper, authors present design for a private weather station that can be established in any place. The design mainly based on a group of sensors used for supplying the information of temperature, humidity, and air speed. An Arduino Uno microcontroller is utilized to process the incoming sensing data and send them via wireless Bluetooth module to mobile phones. The mobile phones are equipped with an Android smart application to display this data. This low-cost design offers an online weather information for any local projects that need such data.