Arduino Uno

To address the requirement for three-phase inverters in microgrid systems or sustainable-powered industrial facilities, a MOSFET-based three-phase inverter is designed and implemented, which can convert DC power into three-phase AC. The designed system produces 223V square (AC) waves at each phase from a 12V battery (DC) through switching of three stages of power MOSFETs using PWM signals at their gates from an Arduino Uno R3. Each stage of MOSFETs consists of six MOSFETs making it eighteen in total, which are used to perform the inversion process separately for each of three single-phase connections. The system is programmed through the Arduino Uno to generate the PWM signals and to keep 120 degrees phase displacement among each phase. Three center-tapped step-up transformers are used at the outputs of MOSFET stages for signal amplification. Using a 60W incandescent light bulb at each phase as a load, the system produces 386.25V of voltage for three-phase line, delivering 0.58A of current. The design and simulation of the electronic circuit are done by Proteus 8.9 Professional, and the programming codes are written using Arduino IDE. The designed system is practically contrasted and tested.

Najran city faces the flood situation every year due to intensive rain and climatic disturbances. Flooding also causes loss of money, along with loss of life and property and the destruction of agriculture and livestock. Thus, this project proposes a conceptual framework with three main phases: monitoring the water level inside the dam and level in water stream before and after the dam, controlling the opening and closing of the dam gate and measuring the water pressure at the dam barrier. In the case of high water level dam is monitored through water sensors placed at the top of the dam and then these sensors give a reference to the stepper motor and the flow of the stepper motor is controlled by the dam gate. The experimental results shows that the proposed system has the capability to reliably tackle the flood water. It can accurately measure the water level and control the gate of dam as soon as the level of the water reaches to danger level and water pressure at the barrier is measured by the sensor. The developed real-time monitoring system in Najran dam will help authorities to take preventive actions to deal with flood disaster.

في يومنا هذا, جميعنا نتهافت الى تعلم اللغات الأجنبية, و ترجمة جل أعمالنا اليها, غافلين عن لغتنا الأم و متجاهلين قوتها و جماليتها, وهذا ما حاولنا اثباته من خلال هذا التقرير المتواضع الذي قمنا من خلاله بعرض مجموعة من الأعمال التطبيقية التي قمنا بها رفقة أستاذنا سعد مطهر و ذلك اعتمادا على بطاقة أردوينو القابلة للبرمجة.

Plotting Robot is a robot that prints an image or text on A3 paper, and the photos are given to it through a computer or mobile program that identifies the microcontroller used in the project and on the Arduino by converting image information into data and the program convert this data from machine language to hex or g-coding language. The data is specified by the dimensions of the paper for drawing. The robot was made to facilitate the processes of printing, writing, and drawing in many fields, for example writing homework in the halls while the professor is explaining the material to facilitate the educational process and not waste time, Or to facilitate drawing for artists who use this profession to earn their daily living, On the printing side, the project can print papers and documents and maintain their formality, and this is one of the important features of the project.
The hardware and software components of the project are formed by a specific scheme in which the Arduino Uno is used with CNC shield version 3 to act as the brain of the project and connect with them two stepper motors to cover the axes of the paper for drawing and connect them with lead screw shafts to make together with the “muscular” motor device for the project where the components work with each other when the image data comes from the computer, the project brain processes it and move the NEMA 23 stepper motors at a certain speed and directions according to the data, and when it reaches the specified point of the drawing, the third axis “Z” puts the pen on the paper through the servo motor and draws on it.

RGB light are special lights, with only one LED which is capable of emitting red, green & blue with a single LED (Light Emitting Diode). Though there are such LEDs present in market which come pre-programmed. What we are talking about is making it more interactive and making it instantly programmable by swipping on android phone.

This project is based on a Real-Time College Bus Tracking Application which runs on the website. This enables students to find out the location of the bus so that they won't get late or won't arrive at the stop too early. The main purpose of this website is to provide the exact location of the student's respective buses in Google Maps besides providing information like bus details and distance. College students use this website. It is a real-time system as the current location of the bus is updated every moment in the form of latitude and longitude which is received by the students through the website on Google maps. The application also estimates the time required to reach a particular stop on its route. This mode of communication can be useful for the bus tracking system.

Traditionally, visually challenged individuals employ the white cane to aid their mobility outdoors, which provides very limited utility. In order to improve the safety of visually challenged users and enhance their awareness of their surroundings while navigating in outdoor environments, smart device is needed. In this paper, a smart walking cane for the visually challenged has been presented. The proposed device can detect obstacles as well as terrain changes in the user’s path. A conventional walking cane forms the mainframe of the device, upon which ultrasonic sensors are mounted at appropriate locations to detect obstacles, steps and pits in the path of the user, It can also detect fire in the surrounding environment using fire sensors. Additionally, a provision to indicate the presence of puddles and slippery surfaces in the user’s path has also been included in the device. The presence of these obstacles is notified to the user by the means of voice recordings played via earphones or through haptic feedback, provided using vibration motors placed on the hand support of the stick. The device is lightweight and is powered by a rechargeable battery. The overall design of the device ensures accuracy, energy efficiency and easy portability.
Keywords: Obstacle detection; Terrain detection; Ultrasonic sensor; Fire Sensor; visually challenged; Walking Cane

This project is based on Vibration Detection using the Internet
of Things. Vibration monitoring is the measurement of passing
movements in a structure. This project involves developing an
SMS alert when unusual vibrations are detected. It includes a
lab-based experiment of detecting vibrations when the different
magnitude of the force is applied. This force causes the change
in values of the sensor from its initial values. Values of
acceleration can be seen on the webpage and analysis can be
done when required. Considering the maximum magnitude at
which destruction is high, the alert signal would be generated.
This alert would be sent to different mobile phones using GSM
Technology. With the help of this, we can be aware of the
vibrations. Properly done, vibration monitoring can be
extremely helpful in preventing damage to structures
understanding the nature of the damage and ascertaining its
cause. Currently, we are using Arduino microcontroller,
accelerometer sensor, and GSM Module as our main
components. The code of the Arduino Uno microcontroller is
written in C++.

ÖZET
İnsan beyni ile elektronik sistemlerin bağlantısını sağlayan ve beyin sinyallerinden anlamlı sonuçlar elde ederek bilişsel işlevleri ve motor fonksiyonların yapılmasında kullanılan sistemlere bilgisayar beyin ara yüzü (BBA) denilmektedir. Günümüzde birçok çalışmada bu sistemler kullanılmaktadır. BBA sistemlerinde genellikle kullanım kolaylığından dolayı ElektroEnsefaloGrafi (EEG) sinyalleri toplayacak olan kayıt cihazları kullanılmaktadır. EEG sinyalleri bilişsel ve motor işlemlerin hepsinde beyin sinir hücrelerinde meydana gelen elektriksel aktivitelere verilen isimdir. EEG sinyallerinin işlenmesi ile beyinde meydana gelen aktivitenin özellikleri hakkında bilgiler elde edilmektedir, elde edilen veriler sayesinde epilepsi ve psikiyatrik bozukluklar gibi birçok hastalığın teşhisi mümkün olmaktadır. 2018 dünya sağlık örgütü verilerine göre yılda 15 milyon kişide inme adı verilen rahatsızlık görülmektedir. Bu alanda yapılan birçok çalışma ile kısmi veya geçici olarak inme inmiş olan hastaların ihtiyaç duydukları yaşam standartlarına  kavuşmaları hedeflenmektedir. Çalışmada EEG sinyallerinin toplanması ve işlenmesi için kablosuz EEG çekimi yapabilen EMOTIV EEG kayıt cihazı ve MindYourOSCs yazılımı kullanılmıştır. EEG sinyallerinin gerçek zamanlı işlenmesi ile elde edilen sinyaller mikrodenetleyici platformuna aktarılarak Işık Yayan Diyot (Light Emitting Diode - LED) kontrolü sağlanmıştır. Böylece tasarlanan sistemde inme hastalarının beyin sinyalleri üzerinden, bulundukları bir ortamdaki aydınlatma elemanı, ısıtma-soğutma sistemi, elektrikle kontrol edilen kapı, elektrikli hasta yatağı vb. sistemlerin kontrolü mümkün olabilmektedir.
ABSTRACT
Computer Brain Interface (CBI) is the system that provides the connection between the human brain and the electronic systems and uses meaningful results from brain signals to perform cognitive and motor functions. Today, these systems are used with many studies. CBI systems that collect EEG signals are generally used as recorders because of their ease of use. EEG signals are the electrical activities that occur in brain nerve cells in all cognitive and motor processes. By processing EEG signals,  information is obtained about the characteristics of activity in the brain, and it is possible to diagnose many diseases such as epilepsy and psychiatric disorders. According to the 2018 world health organization data, this discomfort occurs in 15 million people per year called a stroke. Numerous studies in this area aim to achieve the living standards of patients with partial or temporary stroke. In this study, EMOTIV EEG recorder and MindYourOSCs software which can capture wireless EEG is used for the collection and processing of EEG signals. The real-time processing of the EEG signals is transferred to the microcontroller platform to control the Light Emitting Diode (LED). In the system designed in this way, over the brain signals of stroke patients may control systems such as lighting elements, heating-cooling systems, electrically controlled doors, and electric patient beds in an environment.