Communication
Abdulqader Falhi Jabbar; Rana Fareed Ghani; Asia Ali Salman
Abstract
Road traffic accidents are one of the leading causes of mortality globally. Reducing the number of traffic-related incidents has become a serious socio-economic and public health problem, given the ever-increasing number of cars on the road. As a result, this paper proposes an intelligent vehicle prediction ...
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Road traffic accidents are one of the leading causes of mortality globally. Reducing the number of traffic-related incidents has become a serious socio-economic and public health problem, given the ever-increasing number of cars on the road. As a result, this paper proposes an intelligent vehicle prediction communication mechanism that alerts drivers to any autos that may be overtaking or bypassing the targeted vehicle. The primary goal of this paper is to leverage modern Internet of Things (IoT) and wireless sensor technologies to predict any potential accident that may occur as a result of car accidents. This paper proposes the Collision Prediction of a Moving Vehicle (CPMV) system. The information acquired by CPMV will alert the driver to divert the vehicle in a reasonable amount of time before any harm occurs. It redirects the inbound object that emitted the Ultrasound signal which was received by the vehicle, to a safe location. The proposed system predicts collision between vehicles through Wi-Fi and Bluetooth, using a set of sensors with a precision of 360 degrees and a distance of collision prediction of one meter and at a speed of 200-300 revolutions per minute. The python programming language was utilized to code the programs that control the vehicle during the implementation of this project. The Raspberry Pi 4 is utilized as the controller to examine the vehicle’s spatial data. The test results showed that using this application to deal with an approaching object can be a successful strategy in the three proposed scenarios at different angles and directions.
Computer
Wid Badee; Muayad Sadik Croock
Abstract
Designing an efficient irrigation system is a crucial issue in agriculture, due to water scarcity problem around the world with the need of increasing agricultural production to satisfy the demands of the enlargement of population. Therefore, to design a smart irrigation system, a real monitoring of ...
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Designing an efficient irrigation system is a crucial issue in agriculture, due to water scarcity problem around the world with the need of increasing agricultural production to satisfy the demands of the enlargement of population. Therefore, to design a smart irrigation system, a real monitoring of field’s information that affects the watering status is required which can be achieved with Wireless Sensor Networks (WSN). In this paper, an irrigation system based WSN is proposed to save water, power, labor, and as a result, saving cost with production and profit increase. Sensor nodes collect field data to be sent to the Raspberry pi, as a main controller, to make optimal decisions about irrigation process. The field data includes the sensor readings of temperature and soil moisture. Crop evapotranspiration is also considered; thus, the required amount of water is estimated with a particular irrigation time to avoid over irrigation that hurts the plants growth and yields quality. The obtained results show the efficiency of the proposed system operation and controlling on the irrigation process. These results are taken for tomato plant as a case study. The monitoring tools are used to verify the suggested algorithm effectiveness in irrigation scheduling.
Hala Jamal Hadi; Salih Mahdi Al-Qaraawi
Abstract
Recently, the automatic movement of mobile robots has played a very important role inthe advancement of technology. Automated mobile robot path determination is one of the mostimportant challenges in the science of technology. This paper proposed a path planning method forwheeled mobile robots based ...
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Recently, the automatic movement of mobile robots has played a very important role inthe advancement of technology. Automated mobile robot path determination is one of the mostimportant challenges in the science of technology. This paper proposed a path planning method forwheeled mobile robots based on a real time calculation of a predefined distance on a certain map toenable the mobile robot to navigate at indoor areas according to the calculated distances and angleson the paths. The proposed system uses two wheels’ car as a prototype with two optical encoders todetermine the number of wheel’s rotations, in order to calculate the needed distances and anglesbetween two points on the navigation path. The system was controlled by a microcomputer RaspberryPi, programmed using python programming language. The experimental results show an accuratedistances and angles measurement for the navigation under a suitable condition.
Hassan J. Hassan; Noor Kadhim Hadi
Volume 17, Issue 1 , December 2017, , Page 1-9
Abstract
There are many critical cases in which the patients need continuous monitoring by the medical staff. Implementing wireless sensor network in medical field helps the medical staff to monitor the patients remotely. This system is designed to collect the patient’s physiological parameters, and store them ...
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There are many critical cases in which the patients need continuous monitoring by the medical staff. Implementing wireless sensor network in medical field helps the medical staff to monitor the patients remotely. This system is designed to collect the patient’s physiological parameters, and store them in the database. The doctor monitors the patient continuously in real time. In this project the biomedical sensor nodes used are temperature and heart rate sensors; Arduino UNO is used as a microcontroller for data processing, and then the messages are transmitted to the base station via Bluetooth wireless technology. The Raspberry Pi is used as a system personal server. The results, reports and other information related to the patients are displayed in website pages which are suitable for the desktop, Personal Digital Assistance (PDA) and mobile devices.