127 results on '"Haider Th. Salim ALRikabi"'
Search Results
52. Abnormal Behavior Detection of Students in the Examination Hall from Surveillance Videos
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Roa’a M. Alairaji, Ibtisam A. Aljazaery, and Haider TH. Salim ALRikabi
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- 2021
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53. The Impact of Teaching by Using STEM Approach in The Development of Creative Thinking and Mathematical Achievement Among the Students of The Fourth Scientific Class
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Lina Fouad Jawad, Haider Th. Salim ALRikabi, and Ban Hassan Majeed
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STEM Introduction ,Class (computer programming) ,Innovative Thinking ,Computer Networks and Communications ,media_common.quotation_subject ,Flexibility (personality) ,Sample (statistics) ,TK5101-6720 ,Computer Science Applications ,Test (assessment) ,Mathematical Achievement ,stem introduction, innovative thinking, mathematical achievement ,Fluency ,Originality ,Telecommunication ,Mathematics education ,Achievement test ,Preparatory school ,media_common - Abstract
The research aims to know the impact of science, technology, engineering, and mathematics education on both creative thinking and mathematical achievement. To achieve it, the two researchers followed the quasi-experimental approach with an experimental design for two groups, one experimental and the other a control. The research sample consisted of (32) female students from the fourth scientific grade in Al-Intisar Preparatory School for Girls / Al-Rasafa, First Directorate. The sample was chosen intentionally and was divided into two groups: a control group studying by the traditional method, their number (16), and an experimental group that applied the STEM approach, their number also (16). There was parity between the two research groups in the variables (chronological age, previous achievement in mathematics, innovative thinking). The research tools consist of testing innovative thinking skills (fluency, flexibility, originality, relationships) and achievement tests. The research experiment was applied before and after. To test the validity of the hypotheses, data were collected and then statistically analyzed using appropriate statistical methods. The results of the research found that there were statistically significant differences in both the tests of innovative thinking and mathematical achievement in favor of the experimental group that studied according to the STEM approach, and in light of the results, the researchers recommended several recommendations and suggestions.
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- 2021
54. Using Internet of Things application for Monitoring Photo-Voltaic Panel Based on Ask Sensors Cloud
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Mansour S. Farhan, Mohammed Hassan Majhool, Haider Th. Salim Alrikabi,, primary
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- 2021
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55. Monitoring the Consumption of Electrical Energy Based on the Internet of Things Applications
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Haider Th. Salim ALRikabi, Alaa Abdulhussein Daleh Al-Magsoosi, Faisal Theyab Abed, and Naseer Ali Hussien
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Computer Networks and Communications ,business.industry ,Computer science ,Internet of Things ,Electrical engineering ,TK5101-6720 ,Current transformer ,Computer Science Applications ,Monitoring device ,Smart power ,Base station ,Wireless router ,monitoring device, power consumption, internet of things ,Arduino ,Telecommunication ,Wireless ,Electricity ,Power Consumption ,business ,Wireless sensor network - Abstract
One of the instrumental functional overheads in many commercial edifices and industrial plants is the electricity bill. The design and development of a Smart Power monitoring device used to make monitoring on the electrical parameters represented as voltage, current, and power of Wasit university buildings. The system has a unit with smart sensing to detect and control the electrical devices employed for daily activities by following different tariff rates. It has the capability to decrease consumer costs improving grid stability. A developed model was broadly examined and experimental results comparing these results with devices of conventional measuring. The Arduino based wireless powering meter is a non-invasive existing meter for domiciliary power with a WI-FI Connection. A split-core is used to measure the current transformers. 802.11b connection is a means for transmitting data through the home’s wireless router to the base station and monitoring web portal based on wireless sensor network. A clear projection for domestic data use is one of the aims of this project. By these data, it can supply estimation to consuming power. Optimizing and reducing power usage are the objectives of providing such data.
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- 2021
56. Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression
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Haider Th. Salim ALRikabi, Shaima Miqdad Mohamed Najeeb, Rihab Salah Khairy, and Ameer Saleh Hussein
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Ensemble forecasting ,Computer Networks and Communications ,Computer science ,business.industry ,Credit card fraud ,Fraud detection Credit card Ensemble technique Stacking Machine learning ,TK5101-6720 ,computer.software_genre ,Logistic regression ,Outcome (game theory) ,Fuzzy logic ,Computer Science Applications ,k-nearest neighbors algorithm ,ComputingMethodologies_PATTERNRECOGNITION ,Telecommunication ,Sequential minimal optimization ,The Internet ,Data mining ,business ,computer - Abstract
The global online communication channel made possible with the internet has increased credit card fraud leading to huge loss of monetary fund in their billions annually for consumers and financial institutions. The fraudsters constantly devise new strategy to perpetrate illegal transactions. As such, innovative detection systems in combating fraud are imperative to curb these losses. This paper presents the combination of multiple classifiers through stacking ensemble technique for credit card fraud detection. The fuzzy-rough nearest neighbor (FRNN) and sequential minimal optimization (SMO) are employed as base classifiers. Their combined prediction becomes data input for the meta-classifier, which is logistic regression (LR) resulting in a final predictive outcome for improved detection. Simulation results compared with seven other algorithms affirms that ensemble model can adequately detect credit card fraud with detection rates of 84.90% and 76.30%.
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- 2021
57. Enhancement of the efficiency of solar energy cells by selecting suitable places based on the simulation of PV System
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Faisal Theyab Abed, Hisham Dawood Salman Altai, Hussein Tuama Hazim, and Haider TH. Salim ALRikabi
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General Computer Science ,Architecture ,Economics, Econometrics and Finance (miscellaneous) ,Biomedical Engineering ,Bioengineering ,Electrical and Electronic Engineering ,Industrial and Manufacturing Engineering ,Education - Published
- 2022
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58. Analysis of the problems of electricity in Iraq and recommendations of methods of overcoming them
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Hisham Dawood Salman Altai, Faisal Theyab Abed, Mohammed H. Lazim, and Haider TH. Salim ALRikabi
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General Computer Science ,Mechanical Engineering ,Architecture ,Biomedical Engineering ,Bioengineering ,Electrical and Electronic Engineering ,Industrial and Manufacturing Engineering - Published
- 2022
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59. Enhancing the efficiency of photovoltaic power system by submerging it in the rivers
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Majid Valizadeh, Ibtihal Razaq Niama ALRubeei, Haider TH. Salim ALRikabi, and Faisal Theyab Abed
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Low cost ,Physics::Space Physics ,Solar cell design ,Astrophysics::Solar and Stellar Astrophysics ,Cell performance ,Astrophysics::Earth and Planetary Astrophysics ,Electrical and Electronic Engineering ,Renewable energy sources - Abstract
In light of the advanced technological development in the world, this study aims to use alternative energy for generating electric energy at the lowest cost. Solar cells are devices that have special operating conditions. The most important of these conditions are the temperature of cells and the intensity of solar radiation. Sometimes the climate condition does not match the ideal conditions used for operating solar cells in many regions around the world. Although the Middle East and Iraq in particular, is considered one of the sunniest areas in the world, solar energy cannot be relied upon to generate electric energy effectively because of the problem of high temperature in solar cells in the summer as well as the problem of dust. In this paper, a simple and economical method was designed to overcome the main problems in the operation of solar cells represented by high temperature in solar cells as well as the problem of dust accumulated on the surface of solar cells which impedes the entry of sunlight into those cells. The method is conducted by immersing the solar cells in running water at a distance that should be close to the surface of the water.
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- 2022
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60. Design a system for an approved video copyright over cloud based on biometric iris and random walk generator using watermark technique
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Raghad Abdulaali Azeez, Mohammad K. Abdul-Hussein, Mohammed Salih Mahdi, and Haider TH. Salim ALRikabi
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General Computer Science ,Mechanical Engineering ,Architecture ,Biomedical Engineering ,Bioengineering ,Electrical and Electronic Engineering ,Industrial and Manufacturing Engineering - Published
- 2021
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61. Design and Implementation of Sunlight Tracking Based on the Internet of Things
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Mohammed Hassan Majhool, Haider Th. Salim ALRikabi, and Mansour S. Farhan
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Sunlight ,Multimedia ,Computer science ,business.industry ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,computer.software_genre ,Internet of Things ,business ,Tracking (particle physics) ,computer - Abstract
In this article, for smart management and control of the solar pursuing device, an archetype is designed to evaluate or verify administration system and control. The newly-built prototype is designed for several applications to be a powerful platform for understanding the smart solar energy method. The Internet of Stuff integrates ordinary items using the Internet to enter the physical world. The IoT technology is facilitated to track solar PV (photovoltaic) power generation that can improve plant upkeep, tracking, and efficiency. This would include monitoring the solar panel and pointing it into the sunlight. It’s all feasible to utilize LDR sensors. The IoT automatically preserves track of the voltage supply the solar panel detects the towards of sunlight. The suggested system demonstrates the online utilization of solar PV power.
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- 2021
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62. Economic Feasibility Study of a Hybrid Power Station Between Solar Panels and Wind Turbine with The National Grid in Al-Hayy City in the Central of Iraq
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Faisal Theyab Abed, Julian Gaidukov, D.A Pavlyuchenko, Ahmed. Z. Abass, and Haider Th. Salim ALRikabi
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Wind power ,Meteorology ,business.industry ,Fossil fuel ,Environmental science ,Electricity ,Electric power ,Hybrid power ,business ,Solar energy ,National Grid ,Renewable energy - Abstract
In view of the increasing demand for electric energy, parallel to global warming and increasing temperatures in the world, efforts must be made to find new and environmentally friendly ways to produce electric energy and eliminate the burning of fossil fuels. In this paper, we propose to approve hybrid plants for the production of electric power in Iraq due to the availability of the privileged location and the amount of clean energies that can be invested. We have chosen a small area located in the south of Iraq and suggested the establishment of a hybrid plant between solar energy, wind, and the national grid, and the results were very impressive, where at a very low cost it is possible to cover the district's need of electricity and export the rest to the national grid at a price (0.015 kwh). We chose this type of station, wherein in the daytime, it is possible to take advantage of solar energy, as well as wind energy, if available. And wind energy can be used at any time when there is wind at a speed higher than 3 m/s, where energy can be generated at night hours and the absence of sunlight for any reason. This study was carried out with the help of the NASA space website and the Homer program to study renewable energies.
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- 2021
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63. Internet of Things (IoT) application in the assessment of learning process
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Nabaa A. Jasim, Haider Th. Salim ALRikabi, and Mansour S. Farhan
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Multimedia ,business.industry ,Computer science ,Process (engineering) ,media_common.quotation_subject ,Distance education ,computer.software_genre ,Promotion (rank) ,Work (electrical) ,ComputingMilieux_COMPUTERSANDEDUCATION ,The Internet ,Tracking (education) ,Internet of Things ,business ,computer ,Virtual classroom ,media_common - Abstract
The spread of Coronavirus has changed the common life of students over the world. As a result of following international guidelines, all educational institutions are required to work remotely to reduce the contagion of the spread of Coronavirus. Web-based technologies and the Internet have become popular platforms for developing and introducing distance learning programs in the online classroom. Therefore, an application designed specifically to support e-Learning effectiveness named E-Learning Motivation Systems (E-LMS) changes in the teaching-learning process, monitoring and tracking of student performance. this article aims to identify and propose a low-cost, effective and flexible platform, This platform is designed to monitoring preliminary data on student access to, and participation in, virtual classroom environments and activities. In an initial case study conducted at the electrical engineering department at Wasit University. According to the evaluation results, E-LMS Motivation is an effective support tool for educators in pedagogical monitoring and student performance analysis, significantly contributing to improved student retention and promotion rates
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- 2021
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64. Using IoT Applications for Detection and Monitoring of Underground Cable Fault
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Faisal Theyab Abed and Haider Th. Salim ALRikabi
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business.industry ,Computer science ,Wear and tear ,Controller (computing) ,Digital data ,Overhead (engineering) ,Electrical engineering ,Hardware_PERFORMANCEANDRELIABILITY ,Fault (power engineering) ,law.invention ,Base station ,law ,The Internet ,Resistor ,business - Abstract
Due to underground environments, wear and tear, rats, etc., underground cables are vulnerable to a large range of faults. It's difficult to diagnose the cause of the fault and the whole cable must be separated from the ground to inspect and repair faults. The project work is intended to use the ESP32 controller for detecting the fault location in underground cable lines from the base station in kilometres. The cable needs to be checked for faults to find a fault in the cable. The basic principle of Ohms law is used in this prototype. The current will vary based on the cable 's fault length. In big cities, instead of overhead wires, the electrical cables run underground. It is hard for detecting the precise location of the fault for the repairing phase of that specific cable if the fault occurs in it underground cable. The suggested device finds the precise the fault position. The system is designed with a group of resistors representing cable length in km and a set of switches are generated to cross check the accurateness of the same at any known distance. The voltage across series resistors changes accordingly in the case of a problem, which can then be transferred to an ADC to produce accurate digital data by using programmed C++ that further displays fault position in the distance. The distance, phase, & time of the fault is shown on a computer or mobile device using the internet. The IoT is used to show information on the internet by using ESP32 WiFi module. The website is generated using HTML coding and the fault information is displayed on the website.
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- 2021
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65. Using Cooling System for Increasing the Efficiency of Solar Cell
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Haider Th. Salim ALRikabi, Mansour S. Farhan, and Teba Nassir Sultan
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Air cooling ,History ,Materials science ,law ,Nuclear engineering ,Solar cell ,Water cooling ,Computer Science Applications ,Education ,law.invention - Abstract
According to future predictions, reliance will be largely on solar panels to provide electrical energy. Given its importance, the factors that maintain or increase its efficiency must be studied. Among the factors that reduce its efficiency are temperature, shade, dust and many others. The effect of the temperature on the performance and efficiency of a photovoltaic (pv) panel is the one of the main important facing the renewable energy, especially in hot regions, e g. South part of iraq. The high temperature to which the pv module is exposed in hot weather reduces the open circuit voltage and the efficiency. In this work, use two methods for cooling, namely water cooling and air cooling. The first method of cooling was air cooling by using dc fan that placed in the back of pv module. While the second method water cooling divided in two techniques, the first technique done by using two pieces of aluminum for cooling (water cooling blocks) placed in the rear of pv module and the second technique of water cooling by using copper perforated tube for spraying water placed in the front of pv module. The average of experimental results shows that the use of technique spraying water cooling are highest enhancement in efficiency than others techniques (water cooling blocks and dc fan) and more effective at high pv temperatures.
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- 2021
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66. Design and implementation control system for a self-balancing robot based on internet of things by using Arduino microcontroller
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Haider Th. Salim ALRikabi, Azhar F. Al-zubidi, Ehsan Qahtan Ahmed, and Ibtisam A. Aljazaery
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General Computer Science ,Computer science ,Mechanical Engineering ,Biomedical Engineering ,PID controller ,Bioengineering ,Control engineering ,DC motor ,Industrial and Manufacturing Engineering ,Microcontroller ,Motor controller ,Control theory ,Control system ,Arduino ,Architecture ,Robot ,ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS ,Electrical and Electronic Engineering - Abstract
This project is designed for attempting on developing an autonomous self-balancing robot. In this work, the two-wheel robotic system consists of a microcontroller (Arduino), Dc motor, and sensor. The Arduino is used to read the sensor data and gives the order of the motor based on the control algorithm to remaine the system is stable at different impediment. The robot is drive with Dc motor and the Arduino cannot drive. A motor driver (L298 type) is used to provide a sufficient current. The Ultrasonic sensor (used to sense impediment during the movement) and 3-axis gyroscope accelerometer sensor (To measure the robot inclination angle) to control the two-wheel robot. The controller laws allow reaching static or moving targets based on three structured IOT interactions between the elementary controllers and the sensor with actuator via Cloud environment. Regarding the technical detail must be designed based on the mathematical model. The mathematical model is used based on the model of some references, after that, the transfer function of the system is found. In this work, the MATLAB Simulink is used in the design of the controller, and the PID controller is used due to the simplicity and good activity in central systems. The PID tuner package Simulink is used to obtain the controller parameter (kp, ki, kd) that gives fast and good system response and stability. The result of the designed controller shows that the system has remained stable (remained vertically) and very fast (less than 1sec) until the system reaches the desired output.
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- 2021
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67. A comprehensive system for detection of flammable and toxic gases using IoT
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Bahaa Kareem Mohammed, Manar Bashar Mortatha, Haider Th. Salim ALRikabi, and Ahmad Shaker Abdalrada
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General Computer Science ,020209 energy ,Biomedical Engineering ,Bioengineering ,02 engineering and technology ,Liquefied petroleum gas ,Industrial and Manufacturing Engineering ,Methane ,chemistry.chemical_compound ,Health problems ,020401 chemical engineering ,Propane ,Architecture ,0202 electrical engineering, electronic engineering, information engineering ,0204 chemical engineering ,Electrical and Electronic Engineering ,Flammable liquid ,Smoke ,Waste management ,business.industry ,Mechanical Engineering ,Toxic gas ,chemistry ,Environmental science ,Internet of Things ,business - Abstract
The majority of the existing gases constitute a risk to the health of humans and the environment in general. There is a wide range of diseases that can arise as a result of exposure to toxic and dangerous gases, which can be a cause of death or serious health problems. More so, deadly explosions may occur as a result of leakages of such gases. However, such consequences can be avoided when these dangerous gases are not detected early. Many researchers have proposed different kinds of systems for the detection of gas leakage, but most of the proposed systems were mainly designed to detect LPG gas. Therefore, in this study, a system is proposed for detecting different kinds of flammable and toxic gases. The gases that are detectable by the proposed system include smoke, Ethanol, CNG Gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde. The system can detect gases efficiently and release evacuation alarms simultaneously, then send SMS for emergencies. The proposed system is ready to use and can be installed at any work location.
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- 2021
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68. Design and Implementation of a Smart System for School Children Tracking
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Omar Yahya, Haider Th. Salim ALRikabi, and Dawood Zahi Khutar
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Smart system ,Computer science ,GSM ,media_common.quotation_subject ,Process (computing) ,Tracking (education) ,Radio navigation ,Computer security ,computer.software_genre ,Function (engineering) ,Geographic coordinate system ,computer ,media_common - Abstract
What the world is seeing about the deterioration of public safety in various cities and the increase in the rate of crimes against children makes parents constantly worry about their children when they go to school and until they return from it. To dispel these fears, the idea emerges to create an application that allows parents to know the whereabouts of their children and notify them with a message if the children exceed the area specified for them. In this application, the process of discovering the child’s precise location in a specific area is carried out by determining the latitude and longitude using the GSM radio navigation system. After that, the mobile receives all the information about the location via the GSM modem. A GSM modem has been programmed to achieve communication between the modem and the child by two methods of communication through which the child’s location is determined. Ensuring that the child’s location is known at any time and informing the person responsible for tracking him is the primary function of this system. This device connects to the child in an appropriate manner and it turns on when the child exits the designated area for him, after which a message is sent to the tracker. The device can be triggered using a short messaging system (SMS) where the user can communicate remotely to the GSM using a mobile.
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- 2021
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69. Cloud Computing and its Impact on Online Education
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Ibtisam A. Aljazaery, Duha Khalid Abdul-Rahman Al-Malah, Haider Th. Salim ALRikabi, and Hussain Ali Mutar
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World Wide Web ,Computer science ,business.industry ,ComputingMilieux_COMPUTERSANDEDUCATION ,Cloud computing ,business - Abstract
The cloud computing system has a significant role in the distance education field, because it is an important tributary of virtual education, especially mobile and blended education. Perhaps, the only challenge that must be overawed is the comprehensive coverage of rapid access to the Internet. So, the student can benefit from the applications that we will call from now and onward cloud computing services. There is no need to establish evidence to emphasize the importance of employing technological innovations to develop educational practices for developing educational curricula in Iraqi universities, but it is vital to employ technological innovations in the educational process, and this must be related to overcoming the problems facing the educational process. Therefore, employment should not be for technological dazzling that often accompanies technological innovations, but employment must be a function of urgent needs or demands. In this study, the educational process concept, with its multiple cloud inputs and outputs, was discussed how the education crisis could be overcome in all its institutions by resorting to how to employ the electronic cloud in distance education. This study also examined all the specifications of that environment and the possibility of their application in colleges and educational institutions.
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- 2021
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70. Controlling and Monitoring a Robot-Car Based on Smart Phone Applications
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Haider Th. Salim ALRikabi, Wisam Kareem Meteab, Salwan Ali Habeeb Al Sultani, and Ibtisam A. Aljazaery
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Smart phone ,Computer science ,Real-time computing ,Robot - Abstract
A robot-car is typically an electro-mechanical system driven by electronic programming and computer programming. It can be managed by an Android smartphone APP. The remote buttons in the android app have been created in this paper by monitoring the motion of the car with them, using Bluetooth communication for the controller and android interfaces. The controller can be attached via UART to the Bluetooth module. The robot motion can be controlled according to commands obtained from Android. A robot in a car controlled by Android smartphones using Bluetooth waves will be presented. A video camera will send a video signal to the iPhone or Android device via Wi-Fi without the internet. The implementation will be shown and discussed clearly. The purposes of using this aspect are many and different such as tracking theft cars or exploring areas where humans cannot reach because of danger, pollution, or infested places. The consistent output of a robotic system along with quality and repeatability are unmatched.
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- 2021
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71. Efficient Energy of Smart Grid Education Models for Modern Electric Power System Engineering in Iraq
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Haider Th. Salim ALRikabi, Faisal Theyab Abed, and Isam Aameer Ibrahim
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Electric power system ,Smart grid ,business.industry ,Computer science ,Electrical engineering ,business ,Efficient energy use - Abstract
Smart grid integrates the use of high end technologies so that the generation of energy as well as its delivery can be done with greater performance to the multiple locations and regions. As Iraq is one of the elevating countries in the energy sector and enormous projects, the need to integrate the smart grids arise. This manuscript underlines the assorted perspectives of the smart grid technologies with the integration of solar system and the implementation aspects in Iraq. With the integration of smart grid based architecture and cumulative formulation of the effectual approaches the overall energy can be optimized and higher degree of throughput can be achieved with greater values in the overall performance. In Iraq, there are many projects which are under development and many development using which the overall energy based projects are getting successful in Iraq with the overall elevated growth of the country in multiple sectors including power, security, corporate, international relations, finance and many others. In this research manuscript, the assorted factors and the projects with the multiple dimensions of energy optimization and power saving in Iraq are presented with the pragmatic results.
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- 2020
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72. Bandwidth Analysis of a p-π-n Si Photodetector
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Yassir Th. AL-Tulaihi, Haider Th. Salim ALRikabi, and Mohammed Sh. Ahmed
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business.industry ,Computer science ,Photodetector ,Optoelectronics ,Bandwidth analysis ,business ,Telecommunications - Published
- 2016
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73. EVALUATION OF THE EFFECT OF LENGTH ON THE PERFORMANCE OF RECTANGULAR TO RECTANGULAR WAVEGUIDE TAPER
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Mansour S. Farhan, Haider Th. Salim ALRikabi, and Hasan F. Khazaal
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Materials science ,business.industry ,C band ,General Engineering ,X band ,Physics::Optics ,Port (circuit theory) ,Tapering ,Network analyzer (electrical) ,law.invention ,Cross section (physics) ,Optics ,law ,Standing wave ratio ,business ,Waveguide - Abstract
RF Waveguide taper have a significant role in radar or communication systems through the use of it for joining two waveguides that have different cross sections, and this difference may be in dimensions of cross section or in the shape of it. the tapering may be from rectangular to rectangular waveguide (i.e. each waveguide operating at a certain frequency), or transition from rectangular to circular or elliptical waveguide. In this paper; two rectangular to rectangular waveguide tapers have been fabricated to join waveguide operating at C band frequencies with another one operating at X band frequencies. The fabricated tapers have the same shape but differ in length (8 cm, and 16 cm) in order to measure the effect of length on the most important parameters that have an effect on the performance of the taper, like voltage standing wave ratio "VSWR", return losses, and input resistance. Many tests have been done using two - port network analyzer. The results of the tests indicate that there is no effect on the performance of the waveguide taper although there is an extra 8 cm in length.
- Published
- 2018
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74. A Proposed Model for the Mutual Dependency Between QoE and QoS in Wireless Heterogeneous Networks
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Stavros Kotsopoulos, Hasan F. Khazaal, Baraa I. Farhan, Tasos Dagiuklas, Haider Th. Salim ALRikabi, and Rawaa Ismael Farhan
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business.industry ,Computer science ,Quality of service ,Wireless ,Mutual dependency ,business ,Heterogeneous network ,Computer network - Abstract
Streaming of video over wireless heterogeneous networks coping with the problem of packet loss which affects the perceived video quality. The service providers usually use the Peak Signal to Noise Ratio PSNR as a metric measure for the quality of their provided service. So they use the quality of service QoS of the network as a sign on the quality of their presented service. The QoS deal with the objective tests of the provided service, which mean the measure of PSNR of the presented objects. The presented objects may not get the satisfaction of the network users due to many factors although that the PSNR of the used service is enough for presenting the service. Recently the service providers use the Quality of Experience QoE term which deal with the subjective test of the presented object (i.e. the user satisfaction measure). In this paper we propose a new model to identify the importance or the significance of the role of the QoE assessment for the service providers. To verify our proposed model we did a referendum for 55 participants in order to assess their judgment on the quality of some presented videos. The results of the referendum match the consideration of the proposed model.
- Published
- 2017
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75. Fabrication and Testing of Pyramidal X- Band Standard Horn Antenna
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Hasan F. Khazaal, Haider Th. Salim Alrikabi, Anwar N. Mohammed Ali, Kadhim A. Neamah, and Ali S. Shanan
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Reflection loss ,Horn antenna ,lcsh:Q ,VSWR ,lcsh:L ,lcsh:Science ,lcsh:Education - Abstract
Standard horn antennas are an important device to evaluate many types of antennas, since they are used as a reference to any type of antennas within the microwave frequency bands. In this project the fabrication process and tests of standard horn antenna operating at X-band frequencies have been proposed. The fabricated antenna passed through multi stages of processing of its parts until assembling the final product. These stages are (milling, bending, fitting and welding). The assembled antenna subjected to two types of tests to evaluate its performance. The first one is the test by two port network analyzer to point out S & Z parameters, input resistance, and the voltage standing wave ratio of the horn, while the second test was done using un-echoic chamber to measure the gain, side lobes level and the half power beam width. The results of testing come nearly as a theoretical value of the most important of antenna parameters, like; gain, side lobe level, -3 dB beam width, return loss and voltage standing wave ratio "VSWR", input Impedance.
- Published
- 2017
76. Water desalination and purification using desalination units powered by solar panels
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Salah Ibrahim Kadhm, Haider Th. Salim ALRikabi, Hasan F. Khazaal, and Faisal Theyab Abed
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Water pumping ,Wind power ,General Computer Science ,business.industry ,020209 energy ,Mechanical Engineering ,Biomedical Engineering ,Environmental engineering ,Bioengineering ,02 engineering and technology ,Solar energy ,Desalination ,Industrial and Manufacturing Engineering ,Wind speed ,Unit (housing) ,Renewable energy ,020401 chemical engineering ,Architecture ,0202 electrical engineering, electronic engineering, information engineering ,Environmental science ,Electricity ,0204 chemical engineering ,Electrical and Electronic Engineering ,business - Abstract
One of the problems of the south area in Iraq is the reduced of quantity and the lack of quality of the supplied water, especially in the remote areas. This problem is caused due to many reasons. One of these reasons is the decrease of supplied electricity, which reflected on the performance of water pumping and desalination stations. This paper presenting a project that presented to municipality of Al-Nasiriya city to overcome the problem of the lack in quantity and quality of the supplied water to some villages that remote from the center of the city, through the use of complex modules that consists of small renewable power station with desalination unit. The project goes through some stages starting from collecting the data that related to the aim of the project like; sun radiation level, wind speed, dust quantity, quality and quantity of the presented water, and the type of activity in the area. The collected data were analyzed and evaluated and then the decision comes to execute three complex modules in three locations, powered by small solar energy unit in each. The operation of these modules gives good results, where they offers an acceptable quality with sufficient quantity of water and this an encourage results to populate this experiment in remote areas.
- Published
- 2019
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77. A Predictive model for liver disease progression based on logistic regression algorithm
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Abdul Hadi M. Alaidi, Omar Yahya, Ahmad Shaker Abdalrada, Tahsien Al-Quraishi Al-Quraishi, Haider Th. Salim ALRikabi, and Nasser Ali Hussein
- Subjects
Oncology ,medicine.medical_specialty ,General Computer Science ,business.industry ,Mechanical Engineering ,Disease progression ,Biomedical Engineering ,Direct bilirubin ,Bioengineering ,Disease ,medicine.disease ,Logistic regression ,Industrial and Manufacturing Engineering ,03 medical and health sciences ,Liver disease ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Internal medicine ,Architecture ,medicine ,030211 gastroenterology & hepatology ,Electrical and Electronic Engineering ,business ,Type I and type II errors - Abstract
Liver disease counts to be one of the most prevalent diseases in the worldwide. Therefore, this paper is aim to address the problem of predicting liver disease progression. As the existing predictive models focus on predicting the label of disease; the probability of developing the disease is still obscure. This paper, therefore, has proposed a model to predict the probability occurrence of liver diseases. The proposed predictive model used logistic regression abilities to predict the probability of liver disease occurrence. ILPD dataset was used to analyze the performance of the model. The predictive model has shown outstanding performance with a prediction accuracy rate of 72.4%, the sensitivity of 90.3%, the specificity of 78.3 %, Type I Error of 9.7 %, Type II Error of 21.7 %, and ROC of 0.758%. The model has furthermore confirmed the feasibility of the laboratory tests such as as (Age; Direct Bilirubin (DB), Alamine_Aminotransferase (SGPT), Total_Protiens (TP), Albumin (ALB)) to predict the disease progression. The predictive model will be helpful to patients and doctors to realize the progression of the disease and make a suitable timely intervention.
- Published
- 2019
- Full Text
- View/download PDF
78. An ensemble deep learning model for medical image fusion with Siamese neural networks and VGG-19.
- Author
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Allapakam, Venu and Karuna, Yepuganti
- Subjects
ARTIFICIAL neural networks ,IMAGE fusion ,COMPUTER-assisted image analysis (Medicine) ,BLENDED learning ,DIAGNOSTIC imaging - Abstract
Multimodal medical image fusion methods, which combine complementary information from many multi-modality medical images, are among the most important and practical approaches in numerous clinical applications. Various conventional image fusion techniques have been developed for multimodality image fusion. Complex procedures for weight map computing, fixed fusion strategy and lack of contextual understanding remain difficult in conventional and machine learning approaches, usually resulting in artefacts that degrade the image quality. This work proposes an efficient hybrid learning model for medical image fusion using pre-trained and non-pre-trained networks i.e. VGG-19 and SNN with stacking ensemble method. The model leveraging the unique capabilities of each architecture, can effectively preserve the detailed information with high visual quality, for numerous combinations of image modalities in image fusion challenges, notably improved contrast, increased resolution, and lower artefacts. Additionally, this ensemble model can be more robust in the fusion of various combinations of source images that are publicly available from Havard-Medical-Image-Fusion Datasets, GitHub. and Kaggle. Our proposed model performance is superior in terms of visual quality and performance metrics to that of the existing fusion methods in literature like PCA+DTCWT, NSCT, DWT, DTCWT+NSCT, GADCT, CNN and VGG-19. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
79. Design of a High Gain Yagi-Uda Antenna Array for VHF-Band Radar Applications.
- Author
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Al-Shammari, Basim K. J., Hburi, Ismail Sh., Naman, Hala A., Alrikabi, Haider Th. Salim, Khazaal, Hasan F., Neamha, Kdhim A., and Qasim, Ahmed J.
- Subjects
RADAR antennas ,POWER dividers ,ANTENNA radiation patterns ,RADAR targets ,ANTENNAS (Electronics) - Abstract
The radar of the Yagi-Uda antenna array offers useful traits for the detection of stealth targets. It employs the Very High Frequency (VHF) band, which has the advantage of counteracting stealth technology, as the shape of the target and the absorbing materials used for absorbing radar signals are less efficient against VHF. Moreover, the meter wavelength enables the radar to detect targets at distances exceeding those accessible to millimeter- and centimeter-wave radars. Nevertheless, the range of detection of this type of radar remains constrained and requires further development. The majority of current research is concentrated on the signal processing aspect, with less focus being placed on the antenna array. The antenna elements represent a crucial component of the radar station. This article presents a novel development of the traditional 16-element Yagi-Uda antenna array, which is commonly used in surveillance radar systems operating at a meter frequency band. The development is achieved through a modification of the previously mentioned antenna, which aims to increase the directivity of the antenna array, with a minimum cost and the same signal processing as the original antenna array platform. An additional two-row Yagi-Uda antenna array is proposed, comprising 14 elements in each row and an associated power unit. This modification is designed to enhance the pattern characteristics of the array. Simulation and measurement results for the pattern of the antenna indicate that the achieved gain for the proposed modification is more than 3 dB in compression compared to that of the traditional 16-element array. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
80. The Impact of Artificial Intelligence on Computational Thinking in Education at University.
- Author
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Ameen, Linda Talib, Yousif, Maysam Raad, Jasim Alnoori, Najwa Abdulmunem, and Majeed, Ban Hassan
- Subjects
COMPUTATIONAL intelligence ,ARTIFICIAL intelligence ,COMPUTER science students ,CHATGPT ,TEACHING methods - Abstract
This study aims to reveal the role of one of the artificial intelligence (AI) techniques, "ChatGPT," in improving the educational process by following it as a teaching method for the subject of automatic analysis for students of the Chemistry Department and the subject of computer security for students of the Computer Science Department, from the fourth stage at the College of Education for Pure Science (Ibn Al-Haitham), and its impact on their computational thinking to have a good educational environment. The experimental approach was used, and the research samples were chosen intentionally by the research community. Research tools were prepared, which included a scale for CT that included 12 items and the achievement test in both scientific subjects for departments as the second tool. They reached a lot of conclusions. Accordingly, a set of recommendations were proposed. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
81. Enhancing the efficiency of photovoltaic power system by submerging it in the rivers.
- Author
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Valizadeh, Majid, ALRubeei, Ibtihal Razaq Niama, ALRikabi, Haider TH. Salim, and Abed, Faisal Theyab
- Subjects
SOLAR cells ,PHOTOVOLTAIC power systems ,ALTERNATIVE fuels ,WATERSHEDS ,SOLAR energy ,SOLAR radiation ,SOLAR temperature ,RENEWABLE energy sources - Abstract
In light of the advanced technological development in the world, this study aims to use alternative energy for generating electric energy at the lowest cost. Solar cells are devices that have special operating conditions. The most important of these conditions are the temperature of cells and the intensity of solar radiation. Sometimes the climate condition does not match the ideal conditions used for operating solar cells in many regions around the world. Although the Middle East and Iraq in particular, is considered one of the sunniest areas in the world, solar energy cannot be relied upon to generate electric energy effectively because of the problem of high temperature in solar cells in the summer as well as the problem of dust. In this paper, a simple and economical method was designed to overcome the main problems in the operation of solar cells represented by high temperature in solar cells as well as the problem of dust accumulated on the surface of solar cells which impedes the entry of sunlight into those cells. The method is conducted by immersing the solar cells in running water at a distance that should be close to the surface of the water. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
82. Smart Shopping System with RFID Technology Based on Internet of Things
- Author
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Saif abd alradha alsaidi, Iman Kadhim Ajlan, Mohamed Firdhous, Haider Th. Salim ALRikabi, and Naseer Ali Hussien
- Subjects
Structure (mathematical logic) ,Computer Networks and Communications ,business.industry ,Future Application ,020208 electrical & electronic engineering ,Internet privacy ,Locality ,Internet of Things ,020206 networking & telecommunications ,02 engineering and technology ,TK5101-6720 ,rfid innovation, internet of things, future application, shopping ,Code (semiotics) ,Computer Science Applications ,Identification (information) ,Web of Things ,Shopping ,0202 electrical engineering, electronic engineering, information engineering ,Business sector ,Telecommunication ,The Internet ,Business ,RFID Innovation - Abstract
The Internet of Things (IoT) incorporates most extensive number of innovations and imagines a mixture of things or questions around us that, through one of a kind tending to plans and standard correspondence conventions, consume the ability to connect through one another's also collaborate by their neighbors in the direction of attain regular purposes. The misuse of such a standard has been broadly explored in Internet-related investigates. As a result, a few plans have been suggested that utilization informal organizations to hunt Internet assets, to course activity, or to choose powerful strategies for substance dissemination. The essential understood this knowledge remains persistent locality everywhere us as a diverse carrier of things or articles – i.e. Radio-Frequency identification (RFID) sensors, labels, cellular telephones, actuators, and more – that finished novel inclining to ideas, consume the ability to subordinate through one another besides chip in through their neighbors to realize normal objectives of shopping situation in business sector. Web of Things (IoT) overpowered standard imperfection for structure code, which backing to shopping in business sector or undertaking gathering of most prominent concern and examinant.
83. Enhancing sustainable development in education: Reality of cloud computing applications in activating e-learning at King Faisal University.
- Author
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El Koshiry, Amr Mohamed
- Subjects
DIGITAL learning ,SUSTAINABLE development ,CLOUD computing ,EDUCATIONAL technology ,UNIVERSITIES & colleges - Abstract
After the outbreak of the COVID-19 pandemic, the world turned towards intensifying the implementation of modern educational technologies in general, especially those related to remote teaching and learning. These technologies have proven to save learners considerable time and effort, particularly in emergencies that necessitate a shift from traditional to remote education systems. They offer easy and secure methods for remote teaching and learning. One of the most significant modern technologies in this context is cloud computing, a term that refers to on-demand access to computer resources and systems over the network. Cloud computing can deliver a range of integrated computer services without being constrained by local resources, aiming to facilitate user interaction. The successful use and integration of cloud computing applications in educational institutions are key indicators of achieving outstanding educational quality. This includes attaining the highest possible levels of sustainable development competencies in education. The effectiveness of utilizing these applications is contingent upon the proper management of educational technology applications and their flexible and rapid activation from any location through the Internet. Therefore, this study aimed to assess the current utilization and deployment of cloud computing applications in activating e-learning at King Faisal University and provide insight into realizing the desired outcomes of implementing one of the most crucial e-learning technologies as a means of achieving sustainable development in education. This was accomplished by identifying the problems and challenges facing the use and deployment of this technology in educational institutions in the Kingdom, specifically at King Faisal University. Additionally, the study aimed to propose ways to enhance the utilization of certain applications utilizing this technology in e-learning within educational institutions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
84. Using a Chaotic Digital System to Generate Random Numbers for Secure Communication on 5G Networks.
- Author
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Salim Alrikabi, Haider Th., Aljazaery, Ibtisam A., and Mohammed Alaidi, Abdul Hadi
- Subjects
5G networks ,CHAOTIC communication ,IMAGE encryption ,TELECOMMUNICATION systems ,RANDOM numbers ,FAST Fourier transforms ,COMPUTER network security - Abstract
There are several encryption system applications in 5G networks where rapid response is needed, particularly in the military, health sector, traffic, and vehicular movement. This article presents a proposed data security system for 5G networks that fortifies the security of the network through the use of synchronized chaotic systems to produce pseudo-random numbers. The technique by which random numbers are generated during the encryption procedures is closely associated with 5G network security. Many synchronized chaotic systems are used to produce chaotic random models which are used as encryption bases for a wide variety of data. In this study, the encryption was carried out using a variety of data, including two and three-dimensional color images and audio signals of varying lengths, in addition to the use of Fast Fourier Transform (FFT) for encryption of the ingredient energy wave. The results revealed that the algorithm deployed in the process of encryption performed well. Simulations were performed in MATLAB. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
85. Integrating the internet of things (IoT) and cloud computing challenges and solutions: A review.
- Author
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Fatlawi, Ahmed and Al-Dujaili, Mohammed Jawad
- Subjects
INTERNET of things ,DATA warehousing ,ELECTRONIC data processing ,CLOUD computing ,INTERNET access ,COMMUNICATION infrastructure - Abstract
Cloud IoT and "IoT" are two very different technologies that have involved both parts of our lives. It is foreseen that in the close future, their use will become more prevalent and become one of the most important tools of the Internet. "IoT is an Internet-based model that combines numerous technologies and aims to create useful information that requires a complementary technology to maintain data, and process and analyze the data generated to compensate for its shortcomings. The prevalent use of the Internet has led to the connection of objects to the Internet. Derived from this, objects can have their own digital identity and be in an ecosystem that can interrelate with all people and permit computers to organize and manage them. The advancement of this technology requires using infrastructures including Cloud IoT, because "IoT" for storage and processing of data requires the use of storage systems and processing technology servers. The combination of the two has created a new term called "IoT cloud" and is expected in the future of these two technologies that as an important part of the Internet has been being extensively used. Integration of "IoT" and Cloud IoT is not an easy task and establishes new key topics. The purpose of this article is to fully understand both technologies and their challenges and then to recognize the challenges and problems in the integration of these two technologies and open issues in this technology. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
86. Design and analysis of a DC motor speed drive with generalized regression neural network (GRNN) and invasive weed optimization (IWO) algorithms.
- Author
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Mthboob, Muhammad Hilal, Salim AL Rikabi, Haider T. H., and Aljazaery, Ibtisam A.
- Subjects
TRAFFIC safety ,PARTICLE swarm optimization ,FIELD-effect transistors ,ALGORITHMS ,VOLTAGE control ,PULSE width modulation - Abstract
This advanced research focuses on designing and analyzing a DC motor speed drive with Generalized Regression Neural Network (GRNN) and Invasive Weed Optimization (IWO) Algorithms using MATLAB/SIMULINK as a simulation aid. The DC motor speed drive is designed for fast dynamic speed and current response in all four quadrants of the motor's torque-speed plane. The DC motor's mathematical model is used for characterizing the system; IWO controllers are designed and tuned with methods including (MATLAB tuning, particle swarm optimization (PSO), and Internal Model Control). Two control strategies, single loop IWO and cascaded PI loops, were studied. The cascaded DC motor speed control was used for developing the DC motor's speed drive, which was tuned for a current loop bandwidth of 2π.600 rads/s, and a current limiting logic was implanted in the current loop of the controller. The PMDC machine's speed was controlled using the voltage control method with a Full bridge DC-DC power converter. Metal–oxide–semiconductor field-effect transistor (MOSFET) was used as the switch. The switching was done using the Unipolar Pulse Width Modulation technique due to its positive effect on the motor's current ripples. The use of active damping and active resistance in the speed and current loop was done to improve the drive performance. After tuning the controllers, the IWO-tuned single-loop GRNN controller had a better response than the MATLAB-tuned single-loop GRNN controller. GRNN-IWO gave a well-damped response with minimal overshoot compared to the MATLAB tuned IWO with an accuracy of 98.85%. Likewise, the cascade PI controller gains were obtained, and the controller yielded a well-damped response with negligible overshoot. The drive current limiting mechanism also ensured the rated continuous current of the motor was not exceeded during continuous operation. The cascade GRNN-IWO controller is shown to have excellent load disturbance rejection capacity with zero steady-state error. With the full bridge converter, the motor operated in both forward and reversed directions. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
87. Detecting and diagnosing faults in PV systems based on machine learning techniques using MATLAB.
- Author
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Zamzeer, Ali S., Farhan, Mansour S., and Salim Al Rikabi, Haider T. H.
- Subjects
PHOTOVOLTAIC power systems ,PHOTOVOLTAIC cells ,MACHINE learning ,CLEAN energy ,ENERGY consumption ,ARTIFICIAL neural networks - Abstract
In recent years, the energy generated by the photovoltaic array has gained exceptional importance with the global demand for clean energy. Various photovoltaic (PV) faults may emerge due to external working conditions like potential damages associated with the manufacture, transit, or installation, leading to multiple levels of deterioration, power loss, or fire danger. Among these conditions are the temperature of the environment, the solar irradiance, and the variation of the load. Different types of faults in PV modules that result from these conditions are the main problems in this research. Thus, the main idea of the proposed work is to detect and diagnose specific types of faults that can be occurred in the PV system using an artificial neural network (ANN). This early operation is more potent for bypassing any error during the PV work and reducing any losses in the power of the PV system. The dataset of faults is determined from a new model of the photovoltaic cell, which is designed using a MATLAB/SIMULINK environment. The photovoltaic cell consists of three parallel strings with three series modules, and each module contains 20 photovoltaic cells with a series connection. Four parameters (V-load in Volt, I-load in Ampere, Irradiance in W/m2, and Temperature in Celsius) in this model are determined under different conditions (five temperature values, three irradiance values, and three-time events), which are repeated for all considered faults. These four parameters are used in the proposed ANN as effective features in the training and testing phases. Also, this network has eight outputs, one for each fault. The performance of the proposed network is evaluated by implementing it with three different numbers of hidden layers and the same dataset of faults. The simulation results view a significant percentage of fault detecting and diagnosing accuracy, ranging between 95% as a minimum and 98% as a maximum. The estimated RMSE shows that the training phase gains 0.193, and the testing phase has 0.365. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
88. E-learning in the Cloud Computing Environment: Features, Architecture, Challenges, and Solutions.
- Author
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Al-Dujaili, Mohammed Jawad, ALRikabi, Haider T. H. Salim, Abdul-Hussein, Mohammad K., Kanber, Huda Abbas, and ALRubeei, Ibtihal Razaq Niama
- Subjects
CLOUD computing ,INFORMATION technology ,COMPUTERS in education ,DIGITAL learning ,COMPUTER systems ,DISTANCE education ,OPTICAL disks - Abstract
The need to constantly and consistently improve the quality and quantity of the educational system is essential. E-learning has emerged from the rapid cycle of change and the expansion of new technologies. Advances in information technology have increased network bandwidth, data access speed, and reduced data storage costs. In recent years, the implementation of cloud computing in educational settings has garnered the interest of major companies, leading to substantial investments in this area. Cloud computing improves engineering education by providing an environment that can be accessed from anywhere and allowing access to educational resources on demand. Cloud computing is a term used to describe the provision of hosting services on the Internet. It is predicted to be the next generation of information technology architecture and offers great potential to enhance productivity and reduce costs. Cloud service providers offer their processing and memory resources to users. By paying for the use of these resources, users can access them for their calculations and processing anytime and anywhere. Cloud computing provides the ability to increase productivity, save information technology resources, and enhance computing power, converting processing power into a tool with constant access capabilities. The use of cloud computing in a system that supports remote education has its own set of characteristics and requires a unique strategy. Students can access a wide variety of instructional engineering materials at any time and from any location, thanks to cloud computing. Additionally, they can share their materials with other community members. The use of cloud computing in e-learning offers several advantages, such as unlimited computing resources, high scalability, and reduced costs associated with e-learning. An improvement in the quality of teaching and learning is achieved through the use of flexible cloud computing, which offers a variety of resources for educators and students. In light of this, the current research presents cloud computing technology as a suitable and superior option for e-learning systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
89. Information and Communication Technology and its Impact on Improving the Quality of Engineering Education Systems.
- Author
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Salim, Haider T. H., Rikabi, A. L., Jawad Al-Dujaili, Mohammed, Majeed, Ban Hassan, and ALRubeei, Ibtihal Razaq Niama
- Subjects
INFORMATION & communication technologies ,EDUCATIONAL quality ,ENGINEERING education ,INFORMATION technology ,LEARNING ,HEALTH information technology ,CONCEPT mapping - Abstract
The emergence of the remarkable phenomenon of information and communication technology (ICT) in the last two decades of the twentieth century, and its integration into the formal education systems of leading countries, has expanded learning opportunities and facilitated easy access to educational resources. Due to the vast amount of information available, there is a growing emphasis on information management. This approach allows students to enhance their learning by utilizing various tools and visual aids. These tools help in teaching and training by engaging students' different senses, making learning more realistic, practical, and enjoyable. The quality of education and the effectiveness of educational systems are among the most important concerns for educational developers, and decision-makers in any country. The areas of education is one of the fields that has undergone fundamental changes with the emergence of information technology. Information technology has been recognized as an effective tool in the learning and teaching process. In this research, we will discuss the role of ICT and its impact on enhancing the quality of education systems. The results demonstrate that ICT plays an effective role in the design, planning, implementation, learning, educational evaluation, and structure of education. This includes aspects such as timing, suitability, accuracy, adequacy, realism, speed of transmission, learning accuracy cost reduction, and educational effectiveness. Based on the aforementioned points, educational institutions must offer a suitable framework for integrating ICT into education through thorough planning. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
90. Towards a novel architecture for managing ICTs: Analyzing challenges and opportunities in smart cities.
- Author
-
Mahapatra, Dillip Kumar, Mishra, Sasmita, and Pratihari, Hari Narayan
- Subjects
SMART cities ,URBAN planning ,CITIES & towns ,INTERNET of things ,BIG data ,MEDICAL informatics - Abstract
A Smart city's built and accessible resources must be aligned to achieve the intended aim. This vision needs the involvement of a wide range of stakeholders in the city's day-to-day activities. ICT, Internet of Things (IoT), and urban informatics are all key tools for improving the efficiency of city operations. Design and planning of smart cities face many challenges, such as technology, talent, funds, and laws and regulations. The right relationship between government and private-sector partners is critical to progress. We must gain experience and update methods and technologies used in smart city development. Combination of big data and 5G can boost the competitiveness and efficiency of small and medium-sized applications. The Internet of Things (IoT) is a way of thinking about a future where digital and physical things can be connected. In a smart city scenario, IoT can be most useful for every user in fields of day today needs. Internet of Things (IoT) provides citizens with practical urban management services and aids in the development of smart cities. The Internet of Things, or Smart City, has a complicated and diversified structure. This paper proposes a new architecture based on data provided by smart cities, and focuses on ICT challenges and opportunities in the context of smart city development and also discusses smart city planning and management, as well as how to best use data to make cities more efficient and effective. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
91. Enhancement of the Fifth Generation of Wireless Communication by Using a Search Optimization Algorithm.
- Author
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Al-Dujaili, Mohammed Jawad, AL Rikabi, Haider TH. Salim, Al-Rubaye, Ghanim A., and ALRubeei, Ibtihal Razaq Niama
- Subjects
OPTIMIZATION algorithms ,SEARCH algorithms ,WIRELESS communications ,ENERGY consumption ,5G networks ,RESOURCE allocation - Abstract
The fifth generation of cellular networks (5G) is seeing a rapid expansion, and energy efficiency (EE) is a hot topic of discussion. It has been found that both EE and maximum spectral efficiency (SE) are desired. They are conflicting objectives, meaning that maximizing one will decrease the other. To tackle this issue, strategies for spectrum and energy optimization have been proposed, as well as green communication plans that aim to minimize the tradeoff between SE and EE. Research has been conducted on EE-oriented resource allocations to reduce energy usage while ensuring high-quality results. To do this, the Crow Search Optimization Algorithm (CSA) has been used. Simulation results have demonstrated that this proposed method is effective in finding the most suitable solution. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
92. Secured Transfer and Storage Image Data for Cloud Communications.
- Author
-
Abdul-Hussein, Mohammad K. and ALRikabi, Haider TH. Salim
- Subjects
DATA warehousing ,DATA transmission systems ,IMAGE encryption ,IMAGE transmission ,DATA security ,CLOUD computing ,CLOUD storage - Abstract
In cloud computing, resources are used to communicate instead of local servers or individual devices. However, sharing resources among several users is a difficult issue in cloud communication. Cryptography and steganography techniques are used for cloud storage to address data security challenges. This paper presents a novel method for securely encrypting image data for transmission and link exchange with a cloud storage service. There are two phases to accomplish the encryption process, the first phase encrypts the image file by XORing it with a random key that is generated by a new hybrid of the chaotic map. The second phase converts the encrypted image format to audio format to add another layer of security and improve secure image data transfer. The random key is generated using a hybrid chaotic map and has the benefit of having more than 10
256 key spaces and the necessary level of security. Based on a statistical analysis of the encryption, the quality of the image is evaluated using several criteria, and the results demonstrate the algorithm's ability to accomplish resist encryption. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
93. The effect of irradiance, tilt angle, and partial shading on PV performance.
- Author
-
Hasan, Dawood Salman, Farhan, Mansour S., and ALRikabi, Haider TH. Salim
- Subjects
SOLAR panels ,SOLAR radiation ,SOLAR cells ,BUILDING-integrated photovoltaic systems ,ANGLES ,PHOTOVOLTAIC power generation - Abstract
The capacity of solar photovoltaics (PV) installed internationally has exceeded three hundred gigawatts and is increasing annually. As the proportion of solar PV in a country's energy mix increases, the forecasting of available PV power will be crucial. To predict instantaneous and long-term PV power output, It's crucial to comprehend the factors that influence them. By tabulation and graphical explanation, this paper explores the factors and their interlinked influences on solar cells by evaluating the performance of a PV panel 120W
p . This experiment was conducted at Al-Nasiriyah city (31°03' N, 46°16' E), environmental variables include those variables. Solar radiance, shading, angle of tilt. In January, the solar panel tested the effect of solar radiation, shading, and tilt angle on the output power and its performance. At 180˚ south, and 45˚ elevation, the solar panel is omitted. The average of its daily power for a month was 64.355W. The results show that the solar panel operates at maximum efficiency reached 14.97 % during the month. With the increase in solar radiation striking the module maximum power increases which are experimentally obtained at around 12:00 to 1:00 pm. The maximum reduction of power due to shading at 4 pm is 58 %. The efficiency of the photovoltaic panel is influenced by tilt angle. The impact of tilt angle on PV performance is investigated and it was found that the module tilted at the maximum power at 45 degrees. [ABSTRACT FROM AUTHOR]- Published
- 2023
- Full Text
- View/download PDF
94. A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT.
- Author
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Hazim, Hussein Tuama, Alseelawi, Nawar, and ALRikabi, Haider T. H. Salim
- Subjects
DIGITAL watermarking ,DIGITAL video ,DISCRETE cosine transforms ,DISCRETE wavelet transforms ,DATA security ,COPYRIGHT ,SIGNAL-to-noise ratio - Abstract
Watermarking is widely used in multimedia preservation and communication, which comprises, and is therefore not limited to, data security and validation. Security, readability, imperceptibility, and resilience are some of the key advantages of this technology. However, there are still certain issues that need to be addressed, such as the ability to withstand a variety of assaults without substantially affecting the quality and value of embedded data. Based on its operational domain, the watermarking technology may be divided into two groups: spatial and frequency watermarking. An index mapping-based watermarking approach for copyright protection of multi-media color videos is presented in this paper. We offer a hybrid discrete wavelet transform and discrete cosine transform (DCT) watermarking algorithm for digital video watermarking of a color video watermark. Peak signal to noise ratio (PSNR), similarity structure index measure (SSIM), have been used to analyze the distortion produced by watermarking. It is suggested that the proposed video watermarking method provides greater imperceptibility in conjunction with each other with the human visual system and it offers higher robustness against different attacks. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
95. Investigation the factors affecting on the performance of PV system.
- Author
-
Sultan, Teba Nassir, Farhan, Mansour S., and ALRikabi, Haider TH. Salim
- Subjects
PHOTOVOLTAIC power systems ,SOLAR radiation ,ELECTRICAL energy ,SEMICONDUCTOR devices ,SMOKE ,DUST ,DIESEL motor exhaust gas - Abstract
The photovoltaic (PV) panel is a semiconductor device that generates electrical energy when the light falls on it. Many factors affecting badly on the performance of the PV system. In this research, the influence of dust, clouds, shades, and car exhaust smoke on the performance of the PV panel had been investigated. It has been found that the dust and shade had a bad influence on the efficiency of the PV panel. The efficiency decreased from 9.14% to 3.19% at midnight, when the solar radiation is at its peak. Whereas, the clouds & heavy exhaust smoke of cars, the efficiency decreased to 4.66% & 3.99%, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
96. An Image Feature Extraction to Generate a Key for Encryption in Cyber Security Medical Environments.
- Author
-
Jamil, Abeer Salim, Azeez, Raghad Abdulaali, and Hassan, Nidaa Flaih
- Subjects
INTERNET security ,FEATURE extraction ,IMAGE encryption ,COMPUTER networks ,COMPUTER systems ,ENTROPY (Information theory) - Abstract
Cyber security is a term utilized for describing a collection of technologies, procedures, and practices that try protecting an online environment of a user or an organization. For medical images among most important and delicate data kinds in computer systems, the medical reasons require that all patient data, including images, be encrypted before being transferred over computer networks by healthcare companies. This paper presents a new direction of the encryption method research by encrypting the image based on the domain of the feature extracted to generate a key for the encryption process. The encryption process is started by applying edges detection. After dividing the bits of the edge image into (3x3) windows, the diffusions on bits are applied to create a key used for encrypting the edge image. Four randomness tests are passed through NIST randomness tests to ensure whether the generated key is accepted as true. This process is reversible in the state of decryption to retrieve the original image. The encryption image that will be gained can be used in any cyber security field such as healthcare organization. The comparative experiments prove that the proposed algorithm improves the encryption efficiency has a good security performance, and the encryption algorithm has a higher information entropy 7.42 as well as a lower correlation coefficient 0.653. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
97. MULTIMODAL MEDICAL IMAGE FUSION USING HYBRID DOMAINS.
- Author
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NAIDU, A. RAJESH and BHAVANA, D.
- Subjects
IMAGE fusion ,DEEP learning ,MULTIMODAL user interfaces ,DIAGNOSTIC imaging - Abstract
In a variety of clinical applications, image fusion is critical for merging data from multiple sources into a single, more understandable outcome. The use of medical image fusion technologies to assist the physician in executing combination procedures can be advantageous. The diagnostic process includes preoperative planning, intra operative supervision, an interventional treatment. In this thesis, a technique for image fusion was suggested that used a combination model of PCA and CNN. A method of real-time image fusion that employs pre-trained neural networks to synthesize a single image from several sources in real-time. A innovative technique for merging the images is created based on deep neural network feature maps and a convolution network. Picture fusion has become increasingly popular as a result of the large variety of capturing techniques available. The proposed design is implemented using deep learning technique. The accuracy of the proposed design is around 15% higher than the existing design. The proposed fusion algorithm is verified through a simulation experiment on different multimodality images. Experimental results are evaluated by the number of well-known performance evaluation metrics. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
98. Secure Chaos of 5G Wireless Communication System Based on IOT Applications.
- Author
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ALRikabi, Haider TH. Salim and Hazim, Hussein Tuama
- Subjects
WIRELESS communications ,5G networks ,AD hoc computer networks ,INTERNET of things ,CHAOTIC communication ,QUALITY of service - Abstract
This research is aimed at planning the manner in which the secure 5G communication can be controlled based on traffic floods. To accomplish excellent administration execution of organization observing and 5G directing calculation is inescapable, dynamic steering in actual organization equipment isn't reasonable for practical plans of action. Accordingly, to bring down functional and capital consumption, we propose a strategy called versatile steering made do with the help of 5G Quality of Service and MANET (Mobile specially appointed Network). A practical 5G steering model which will help with fulfilling the needs of the customers and simultaneously gives huge investment funds in item cost and convenience was presented in this paper. To perform versatile 5G steering, we planned geography in a virtualized climate. We customized CHAOS for network traffic flood the board which goes about as a consistent northward API in 5G directing. Network traffic is infused dynamically from 1MB up to 10MB (connect b/w) in a progressive way for similar organization traffic with 10 organization occurrences. In conclusion, we performed versatile 5G steering applying the control hypothetical method with the assistance of CHAOS and MANET calculations. By looking at two directing situations, we noticed a prominent distinction in throughput for controlling organization traffic applications in MANETs. Network traffic flood data is refreshed after clockwork. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
99. DR-LL Gan: Diabetic Retinopathy Lesions Synthesis using Generative Adversarial Network.
- Author
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Abbood, Saif Hameed, Abdull Hamed, Haza Nuzly, Mohd Rahim, Mohd Shafry, Alaidi, Abdul Hadi M., and Salim ALRikabi, Haider TH.
- Subjects
GENERATIVE adversarial networks ,DIABETIC retinopathy ,DEEP learning ,DATA augmentation ,CONVOLUTIONAL neural networks ,MACULAR edema ,FUNDUS oculi - Abstract
Diabetic Retinopathy (DR) is a serious consequence of diabetes that seriously impact on the eyes and is a leading cause of blindness. If the lesions in DR arise in the central portion of the fundus, they may result in significant vision loss, which we refer to as Diabetic Macular Edema (DME). Deep learning (DL) techniques are commonly used utilized in ophthalmology for discriminative tasks such as diabetic retinopathy or age-related macular degeneration (AMD) diagnosis. Deep learning techniques typically need huge picture data sets for deep convolutional neural networks (DCNNs) training, it should be graded by human specialists. According to international protocol, it is classified into five severity categories. However, improving a grading model for high generality needs a significant quantity of balanced training data, which is challenging to obtain, especially at high levels of severity. Typical techniques for data augmentation, in many applications of deep learning in the retinal image processing domain, the difficulty of access to huge annotated datasets and legal concerns about patient privacy are limiting issues. As a result, the concept of creating synthetic retinal pictures that are indistinguishable from actual data has garnered more attention. GANs have been certain to be an effective framework for creating synthetic databases of anatomically accurate retinal fundus pictures. GANs, in particular, have garnered increasing attention in ophthalmology. in this article, we present a loss-less generative adversarial network (DR-LL GAN) to generate good resolution fundus pictures that May be adjusted to include random grading and information about the lesion. As a result, large-scale generated data may be used to train a DR grading and lesion segmentation model with more appropriate augmentation. Our model experiments evaluated on IDRID and MESSIDOR datasets, it's obtained a discrimination loss of 0.69374 and a generation loss of 1.10438, as well as a segmentation accuracy of 0.9840 in our tests. This might support in the optimization techniques of the neural network design and in computer-aided screening of medical picture, thus increasing diagnostic reliability for clinical assessment in the future of sophisticated technological healthcare. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
100. Reducing the Data Rate in Internet of Things Applications by Using Wireless Sensor Network.
- Author
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Yahya, Omar Hashim, ALRikabi, Haider Th. Salim, and Aljazaery, Ibtisam A.
- Subjects
WIRELESS sensor networks ,INTERNET of things ,INTERNET speed - Abstract
Due to the raising number of using Internet of Things (I O T) for personal and commercial devices and applications, as well as the continues needs for improving the quality of the performance for the internet -- connected devices enhance the researchers to investigate solutions for managing the data through the network Because of the fact that the internet-connected devices needs addresses for each sensor node uses the IP-network and a large number of electronic modules is fabricated to be compatible with IPv4 only like Node Mcu, ESP8266, Arduino WIFI, and ESP32 with knowing that the IPv4 has a limited addresses number that will not be enough for the needs of IOT developments, Many researchers turned to IPv6. In the proposed system, another solution is suggested instead of the IPV6. The proposed idea is based on Non-IP Wireless Sensor Network (WSN) by connecting many sensing nodes to the sink-node that has an IP to forward the data to the server to be visualized in a web-portal. By this method, it is able to connect more than one node to the internet over only one IP, there for the data rate that are needed will be decreased. In addition, by using the non-IP network, the data rate and the power consuming by the sensor nodes have been reduced, the practical results are discussed for connecting four nodes over one IP4 and how it will reduce the data rate and the power consuming. In this work, the esp33 has been used as a Sink-node, and the wireless transceiver module ( NRF24) has been utilized to transmit the data from nodes to esp32. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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