This document discusses developing a web-based expert system to help diagnose mechanical and other issues in modern cars (manufactured after 2000). It proposes a conceptual framework for such a system. The system would allow vehicle owners to troubleshoot minor problems without needing a mechanic immediately. This could help reduce congestion at mechanic shops and save owners money, as some minor issues could be addressed without a conventional mechanic. The document outlines the motivation, aims and scope of developing such a system to assist vehicle owners.
In computer domain the professionals were limited in number but the numbers of institutions looking for
computer professionals were high. The aim of this study is developing self learning expert system which is
providing troubleshooting information about problems occurred in the computer system for the information
and communication technology technicians and computer users to solve problems effectively and efficiently
to utilize computer and computer related resources. Domain knowledge was acquired using semistructured
interview technique, observation and document analysis. Domain experts were purposively
selected for the interview question. The conceptual model of the expert system was designed by using a
decision tree structure which is easy to understand and interpret the causes involved in computer
troubleshooting. Based on the conceptual model, the expert system was developed by using ‘if – then’ rules.
The developed system used backward chaining to infer the rules and provide appropriate
recommendations. According to the system evaluators 83.6% of the users were satisfied with the prototype.
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
This document provides an overview of computer vision including its definition, applications, working concepts, popular models and datasets, advantages, and disadvantages. Computer vision is a field that uses computer algorithms to gain a high-level understanding from digital images or videos. It has applications in areas like face detection, object detection and tracking, developing social distancing tools, and medical image analysis. Popular computer vision models include ResNet, YOLO, and MobileNet, and datasets include COCO, ImageNet, and CIFAR10. Advantages are faster and more reliable processing while disadvantages include needing specialists and potential failures in image processing. The document also discusses uses of computer vision for COVID-19 response and in areas like healthcare, automotive, and retail
This document provides an overview of a graduation project on vehicle infrastructure integration (VII) conducted by a team of students at Ain Shams University in Egypt. The project aims to reduce traffic accidents and monitor traffic by enabling communication between vehicles and between vehicles and roadside infrastructure using wireless technology. It discusses technical issues around communication methods, GPS tracking, microcontrollers and interfaces. It also outlines the system components, hardware, applications including intersection collision avoidance and monitoring systems, and the future work planned for DSRC and wireless communications kits.
IRJET-An Arrangement for Automatic Notification and Severity Estimation of A...IRJET Journal
Parthiban.p ,Vasanthkumar.ss ,Mohana.J "An Arrangement for Automatic Noti?cation and Severity Estimation of Automotive Accidents", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net
Abstract
New contact technologies consolidated into present vehicles proposal an opportunity for larger assistance to people injured in traf?c accidents. Current studies display how contact skills ought to be upheld by arti?cial intellect arrangements capable of automating countless of the decisions to be seized by emergency services, thereby adapting the save time to the severity of the mishap and cutting assistance time. To improve the completed save procedure, a fast and precise estimation of the severity of the mishap embody a key point to aid emergency services larger guesstimate the needed resources. This paper proposes a novel intelligent arrangement that is able to automatically notice road accidents, notify them across vehicular webs, and guesstimate their severity established on the believed of data excavating and vision inference. Our arrangement considers the most relevant variables that can describe the severity of the accidents . Aftermath display that a finished Vision Creation in Databases (KDD) procedure, alongside an adequate selection of relevant features, permits producing estimation models that can forecast the severity of new accidents. We develop a prototype of our arrangement established on off-the-shelf mechanisms and validate it at the Applus+ IDIADA Automotive Scutiny Firm abiilities, showing that our planning can particularly cut the period demanded to alert and use emergency services afterward an mishap seizes place.
Automatic Pre-collision warning by Stress Detection and fastest Rescue alertIJTET Journal
Abstract— Vehicular traffic collisions have become a major health concern nowadays. Traffic accidents are increasing every year with increase in number of vehicles. Various techniques have been proposed previously to assist the injured people in road accidents. It includes automatic estimation of severity about collisions and also to deploy emergency services to affected people. Present scenario gives the capability to notify them based on the concept of knowledge discovery on databases (KDD) and data mining processes. The proposed idea here is a novel and intelligent system to introduce a pre-collision warning system inside vehicles. This continuously monitors the driver status by detecting emotions by using sensors. It checks the pulse rate of the driver and gives alert when he is under stress and gives the message in display. By integrating Android application, the voice alert is provided to the passengers hence enhances more safe and comfort drive. Thus the work proposes a system that reduces the chance for accidents. Further in the case if crash occurs, the system automatically gives the information to the nearby rescue home within no time. The data is transmitted with the help of a wireless communication network and reaches the control unit. The control unit may be fixed at the hospital or nearby rescue center. The data sent includes time, location, severity of collision thereby ensures properly and timely assistance to the persons injured in collision.
The document discusses career opportunities in electronics engineering, outlining options in both the public and private sectors. In the public sector, opportunities are described across industries like power, defense, telecom, aviation, and other public sector undertakings. The private sector section covers fields like system design, embedded systems, robotics, industrial automation, networking and security, software development, and consumer appliances.
In computer domain the professionals were limited in number but the numbers of institutions looking for
computer professionals were high. The aim of this study is developing self learning expert system which is
providing troubleshooting information about problems occurred in the computer system for the information
and communication technology technicians and computer users to solve problems effectively and efficiently
to utilize computer and computer related resources. Domain knowledge was acquired using semistructured
interview technique, observation and document analysis. Domain experts were purposively
selected for the interview question. The conceptual model of the expert system was designed by using a
decision tree structure which is easy to understand and interpret the causes involved in computer
troubleshooting. Based on the conceptual model, the expert system was developed by using ‘if – then’ rules.
The developed system used backward chaining to infer the rules and provide appropriate
recommendations. According to the system evaluators 83.6% of the users were satisfied with the prototype.
Autonomous vehicles: A study of implementation and security IJECEIAES
Autonomous vehicles have been invented to increase the safety of transportation users. These vehicles can sense their environment and make decisions without any external aid to produce an optimal route to reach a destination. Even though the idea sounds futuristic and if implemented successfully, many current issues related to transportation will be solved, care needs to be taken before implementing the solution. This paper will look at the pros and cons of implementation of autonomous vehicles. The vehicles depend highly on the sensors present on the vehicles and any tampering or manipulation of the data generated and transmitted by these can have disastrous consequences, as human lives are at stake here. Various attacks against the different type of sensors on-board an autonomous vehicle are covered.
This document provides an overview of computer vision including its definition, applications, working concepts, popular models and datasets, advantages, and disadvantages. Computer vision is a field that uses computer algorithms to gain a high-level understanding from digital images or videos. It has applications in areas like face detection, object detection and tracking, developing social distancing tools, and medical image analysis. Popular computer vision models include ResNet, YOLO, and MobileNet, and datasets include COCO, ImageNet, and CIFAR10. Advantages are faster and more reliable processing while disadvantages include needing specialists and potential failures in image processing. The document also discusses uses of computer vision for COVID-19 response and in areas like healthcare, automotive, and retail
This document provides an overview of a graduation project on vehicle infrastructure integration (VII) conducted by a team of students at Ain Shams University in Egypt. The project aims to reduce traffic accidents and monitor traffic by enabling communication between vehicles and between vehicles and roadside infrastructure using wireless technology. It discusses technical issues around communication methods, GPS tracking, microcontrollers and interfaces. It also outlines the system components, hardware, applications including intersection collision avoidance and monitoring systems, and the future work planned for DSRC and wireless communications kits.
IRJET-An Arrangement for Automatic Notification and Severity Estimation of A...IRJET Journal
Parthiban.p ,Vasanthkumar.ss ,Mohana.J "An Arrangement for Automatic Noti?cation and Severity Estimation of Automotive Accidents", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net
Abstract
New contact technologies consolidated into present vehicles proposal an opportunity for larger assistance to people injured in traf?c accidents. Current studies display how contact skills ought to be upheld by arti?cial intellect arrangements capable of automating countless of the decisions to be seized by emergency services, thereby adapting the save time to the severity of the mishap and cutting assistance time. To improve the completed save procedure, a fast and precise estimation of the severity of the mishap embody a key point to aid emergency services larger guesstimate the needed resources. This paper proposes a novel intelligent arrangement that is able to automatically notice road accidents, notify them across vehicular webs, and guesstimate their severity established on the believed of data excavating and vision inference. Our arrangement considers the most relevant variables that can describe the severity of the accidents . Aftermath display that a finished Vision Creation in Databases (KDD) procedure, alongside an adequate selection of relevant features, permits producing estimation models that can forecast the severity of new accidents. We develop a prototype of our arrangement established on off-the-shelf mechanisms and validate it at the Applus+ IDIADA Automotive Scutiny Firm abiilities, showing that our planning can particularly cut the period demanded to alert and use emergency services afterward an mishap seizes place.
Automatic Pre-collision warning by Stress Detection and fastest Rescue alertIJTET Journal
Abstract— Vehicular traffic collisions have become a major health concern nowadays. Traffic accidents are increasing every year with increase in number of vehicles. Various techniques have been proposed previously to assist the injured people in road accidents. It includes automatic estimation of severity about collisions and also to deploy emergency services to affected people. Present scenario gives the capability to notify them based on the concept of knowledge discovery on databases (KDD) and data mining processes. The proposed idea here is a novel and intelligent system to introduce a pre-collision warning system inside vehicles. This continuously monitors the driver status by detecting emotions by using sensors. It checks the pulse rate of the driver and gives alert when he is under stress and gives the message in display. By integrating Android application, the voice alert is provided to the passengers hence enhances more safe and comfort drive. Thus the work proposes a system that reduces the chance for accidents. Further in the case if crash occurs, the system automatically gives the information to the nearby rescue home within no time. The data is transmitted with the help of a wireless communication network and reaches the control unit. The control unit may be fixed at the hospital or nearby rescue center. The data sent includes time, location, severity of collision thereby ensures properly and timely assistance to the persons injured in collision.
The document discusses career opportunities in electronics engineering, outlining options in both the public and private sectors. In the public sector, opportunities are described across industries like power, defense, telecom, aviation, and other public sector undertakings. The private sector section covers fields like system design, embedded systems, robotics, industrial automation, networking and security, software development, and consumer appliances.
A novel real time video and data capture of vehicular accident in intelligent...IJCNCJournal
- The document proposes a novel scheme for real-time video and data capture of vehicular accidents in intelligent transportation systems.
- The scheme involves an in-vehicle system that alternates between two video files every 5 minutes to record video using a small storage size. When an accident is detected, it stops recording and saves the video.
- It also proposes a real-time video and data capture scheme where the vehicle streams video and sensor data to a remote ITS server in real-time. The server records this information using the same approach as the in-vehicle system to efficiently store accident data.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET - A Review on Machine Learning Algorithms and their ApplicationsIRJET Journal
This document provides an overview of machine learning algorithms and their applications. It discusses the main types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms covered include linear regression, decision trees, random forests, KNN, and logistic regression. The document also outlines many real-world applications of machine learning in domains such as marketing, healthcare, digital media, e-commerce, banking/finance, transportation, and more. Overall, the document serves as a high-level introduction to machine learning algorithms and the wide range of problems they can help address.
Baymax is an affordable drone equipped with an Intel RealSense camera that can detect, predict, and prevent strokes in non-critically injured patients. It incorporates computer vision, batteries, and other optimizations from robotics to provide in-home health monitoring comparable to a nurse. Baymax costs under $1000 and uses a quadcopter design with the RealSense camera and an Intel NUC computer to run tests based on the NIH Stroke Scale and monitor patients' BMI and activity levels to predict and prevent strokes.
Driving without license is the major cause for the road accident and the equivalent monetary losses. This paper is based on virtual reality based driving system which would enhance road safety and vehicle security. This paper helps to limit the vehicle operation on the basics of two parameters-Learn the driving by our own, category (car or bike) of the vehicle for which the driving license is issued. The hardware and software system required to improve our safety and security is developed. This driving system is apt for getting the license without bribe by gathering eye-gaze, Electroencephalography and peripheral physiological data.
IRJET- A Study on Automated Attendance System using Facial RecognitionIRJET Journal
The document discusses an automated attendance system using facial recognition. It begins with an introduction to facial recognition and the motivation for developing an automated attendance system. It then reviews previous work on facial recognition algorithms such as PCA, Viola-Jones, and neural networks. The proposed system is described as using SVM on LBP features for facial recognition due to its high accuracy. Key advantages of the proposed system include being cost-efficient, easy to deploy, and preventing time fraud. The document concludes facial recognition can effectively automate attendance tracking in educational or commercial organizations.
The document proposes an Automated Vigilant Transportation System to minimize road accidents. It uses an Expert Speed Authority System (ESAS) that combines input from a vehicle's speedometer, GPS for speed limits, and a Geo Obstacle Detection System (GODS) to detect nearby obstacles. ESAS includes an advisory system to warn drivers when they exceed the speed limit and an intervention system to control the vehicle if warnings are ignored. It also uses an emergency notification system (ENS) to alert local authorities if rules are violated after intervention. The proposed system was simulated and showed a reduction in speed violations and accidents compared to real traffic data from accident-prone areas.
A survey paper on Optimal Solution on Vehicular Adhoc Network for Congestion ...IRJET Journal
This document summarizes a survey paper on optimal solutions for congestion control in vehicular ad hoc networks (VANETs). It discusses how increasing numbers of connected vehicles can lead to more network congestion, higher error rates, and increased risks of accidents. The paper reviews existing approaches for congestion detection and control in VANETs, including algorithms that detect congested areas based on vehicle speed and density. It also discusses routing protocols and how distributed methods can enable vehicles to quantify congestion levels without relying on infrastructure. The document concludes that an effective congestion control solution in VANETs requires integrating both congestion detection and traffic management functionalities.
Automotive Cybersecurity Challenges for Automated Vehicles: Jonathan PetitSecurity Innovation
July 2016: Jonathan Petit, Principal Scientist at Security Innovation, discusses cybersecurity challenges for automated vehicles at the Automotive Vehicles Symposium.
This document discusses emerging technologies and their implications for future jobs and skills. It begins by describing miniaturized smart dust devices being developed at Berkeley as small as 11.7 mm3 and 6.6 mm3. It then discusses how the rate of technological progress is doubling every decade, meaning a century of progress will occur over the next 25 years. The document outlines how fields like biomedicine, nanotechnology and information technology are converging and creating new types of jobs that require integrated skills from multiple domains. It provides several examples of new career opportunities and wages in areas like allied health, renewable energy, and advanced manufacturing that combine technical skills with other areas like mechanics, electronics, and computing. The document advocates developing both strong academic
Top cited managing information technology articlesIJMIT JOURNAL
The International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of information technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental.
This document summarizes an EU-China Joint White Paper on the Internet of Things published in January 2016. It provides an overview of the latest developments of IoT in both the EU and China. In China, IoT development is supported by government policies and plans. Major applications are in industrial manufacturing, agriculture, energy, and smart cities. Internet companies are also playing a large role. In the EU, IoT is seen as key to economic growth. The European Commission is supporting IoT through policies, funding programs, and initiatives to develop standards and large-scale pilots. Future cooperation between the EU and China on IoT is proposed.
Intelligent alarm system for hospitals using smartphone technologyTELKOMNIKA JOURNAL
The document proposes an intelligent alarm system for hospitals using smartphone technology to reduce rescue time after a patient arrives at the hospital. The system utilizes an Android phone application that connects to a server to transfer data about accident incidents to hospitals. When an accident occurs, the application sends a message with the type of injury to the emergency services and hospital. The hospital reception model then receives the data and sends a warning message to the specialist doctor to prepare for treatment. The system aims to minimize routine procedures that take time in order to provide faster access to patient data and emergency treatment after reaching the hospital.
The document proposes a life saving system to reduce accidents caused by mobile phone use while driving. The system would detect if a driver is using a mobile phone based on radio frequency and camera detection. It would then gradually slow the speed of the car, light warning lights, record the incident, and send it to traffic authorities. The goal is to decrease mobile phone use by drivers and increase safety through deterrence and awareness of risky behavior.
IRJET- Self Driving Car using Deep Q-LearningIRJET Journal
This document describes a study on developing a self-driving car prototype using deep reinforcement learning. The researchers used a deep Q-network (DQN) algorithm to train an agent to control a simulated car directly from sensor inputs like cameras. The DQN was able to successfully navigate the simulated environment and control the car without any knowledge of its dynamics. While the discrete state-space DQN achieved stable control, the researchers believe the work could be extended to use continuous action spaces to allow for varying speeds and improved reward functions. The document also provides background on deep learning, autonomous vehicles, and reviews related work applying reinforcement learning methods to autonomous driving tasks.
Human Interaction with IT systems And Continued AirworthinessSander de Bree
The presentation of the Sentinel research as presented during the Airline & Aerospace MRO & Flight Operations IT Conference -Frankfurt,12th of June 2012
The document summarizes new courses developed at Milwaukee Area Technical College (MATC) to prepare students for careers in mobile device administration. It describes a new course called ITSUP-153 Mobility+ Device Administration that covers administration of iOS, Android, and Windows mobile platforms. The course helps students prepare for the CompTIA Mobility+ certification and provides hands-on learning with mobile device management tools. The document also lists additional new and existing MATC courses related to IT support careers.
This document discusses research on smart cars and intelligent transportation systems. It describes how current vehicles use sensors and computer systems to detect surroundings and operate safely. The researchers expect that within several years, advanced automation and smart driving assistance will become standard in vehicles. The document also reviews literature on implementing safety and technology systems in smart vehicles and infrastructure to communicate and make decisions to increase safety and efficiency.
IRJET- Face Recognition using Deep LearningIRJET Journal
This document summarizes research on face recognition using deep learning techniques. It begins with an abstract discussing the use of facial recognition technology for identification and verification purposes. It then provides details on common face recognition methods, including Haar cascade classifiers for detection and Local Binary Patterns Histograms (LBPH) for recognition. The document finds that LBPH achieves 89.6% accuracy on still images, while convolutional neural networks (CNNs) can achieve over 99% accuracy. It concludes that facial recognition technology is increasingly being used for security applications and could potentially replace passwords and keys.
The document discusses PHP and argues that it gets some important things right despite its flaws. It acknowledges criticisms of PHP's unexpected behaviors and inconsistencies but defends PHP's approach to programmer workflow, state, and concurrency. It then introduces Hack, a gradual typing system for PHP that aims to address PHP's issues while preserving its strengths. Hack adds type inference and checking to PHP in a way that maintains PHP's productive development cycle. The author argues that with tools like Hack and the HipHop VM, PHP has evolved into a viable option even for projects that might otherwise use other dynamic languages.
This document provides guidance for teachers on teaching Technology and Livelihood Education (TLE) exploratory courses in the K to 12 curriculum in the Philippines. It discusses the overall goal of developing 21st century skills in learners and preparing them for work or further education. TLE courses are offered in grades 7-8 and focus on developing technological proficiency through hands-on learning. The document outlines the conceptual framework for TLE, describes the 24 exploratory TLE courses, and explains the design of the learning modules and lessons to ensure competencies are taught according to industry standards set by the Technical Education and Skills Development Authority. It provides direction for teachers on implementing the various parts of the TLE lessons to maximize student learning.
A novel real time video and data capture of vehicular accident in intelligent...IJCNCJournal
- The document proposes a novel scheme for real-time video and data capture of vehicular accidents in intelligent transportation systems.
- The scheme involves an in-vehicle system that alternates between two video files every 5 minutes to record video using a small storage size. When an accident is detected, it stops recording and saves the video.
- It also proposes a real-time video and data capture scheme where the vehicle streams video and sensor data to a remote ITS server in real-time. The server records this information using the same approach as the in-vehicle system to efficiently store accident data.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
IRJET - A Review on Machine Learning Algorithms and their ApplicationsIRJET Journal
This document provides an overview of machine learning algorithms and their applications. It discusses the main types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms covered include linear regression, decision trees, random forests, KNN, and logistic regression. The document also outlines many real-world applications of machine learning in domains such as marketing, healthcare, digital media, e-commerce, banking/finance, transportation, and more. Overall, the document serves as a high-level introduction to machine learning algorithms and the wide range of problems they can help address.
Baymax is an affordable drone equipped with an Intel RealSense camera that can detect, predict, and prevent strokes in non-critically injured patients. It incorporates computer vision, batteries, and other optimizations from robotics to provide in-home health monitoring comparable to a nurse. Baymax costs under $1000 and uses a quadcopter design with the RealSense camera and an Intel NUC computer to run tests based on the NIH Stroke Scale and monitor patients' BMI and activity levels to predict and prevent strokes.
Driving without license is the major cause for the road accident and the equivalent monetary losses. This paper is based on virtual reality based driving system which would enhance road safety and vehicle security. This paper helps to limit the vehicle operation on the basics of two parameters-Learn the driving by our own, category (car or bike) of the vehicle for which the driving license is issued. The hardware and software system required to improve our safety and security is developed. This driving system is apt for getting the license without bribe by gathering eye-gaze, Electroencephalography and peripheral physiological data.
IRJET- A Study on Automated Attendance System using Facial RecognitionIRJET Journal
The document discusses an automated attendance system using facial recognition. It begins with an introduction to facial recognition and the motivation for developing an automated attendance system. It then reviews previous work on facial recognition algorithms such as PCA, Viola-Jones, and neural networks. The proposed system is described as using SVM on LBP features for facial recognition due to its high accuracy. Key advantages of the proposed system include being cost-efficient, easy to deploy, and preventing time fraud. The document concludes facial recognition can effectively automate attendance tracking in educational or commercial organizations.
The document proposes an Automated Vigilant Transportation System to minimize road accidents. It uses an Expert Speed Authority System (ESAS) that combines input from a vehicle's speedometer, GPS for speed limits, and a Geo Obstacle Detection System (GODS) to detect nearby obstacles. ESAS includes an advisory system to warn drivers when they exceed the speed limit and an intervention system to control the vehicle if warnings are ignored. It also uses an emergency notification system (ENS) to alert local authorities if rules are violated after intervention. The proposed system was simulated and showed a reduction in speed violations and accidents compared to real traffic data from accident-prone areas.
A survey paper on Optimal Solution on Vehicular Adhoc Network for Congestion ...IRJET Journal
This document summarizes a survey paper on optimal solutions for congestion control in vehicular ad hoc networks (VANETs). It discusses how increasing numbers of connected vehicles can lead to more network congestion, higher error rates, and increased risks of accidents. The paper reviews existing approaches for congestion detection and control in VANETs, including algorithms that detect congested areas based on vehicle speed and density. It also discusses routing protocols and how distributed methods can enable vehicles to quantify congestion levels without relying on infrastructure. The document concludes that an effective congestion control solution in VANETs requires integrating both congestion detection and traffic management functionalities.
Automotive Cybersecurity Challenges for Automated Vehicles: Jonathan PetitSecurity Innovation
July 2016: Jonathan Petit, Principal Scientist at Security Innovation, discusses cybersecurity challenges for automated vehicles at the Automotive Vehicles Symposium.
This document discusses emerging technologies and their implications for future jobs and skills. It begins by describing miniaturized smart dust devices being developed at Berkeley as small as 11.7 mm3 and 6.6 mm3. It then discusses how the rate of technological progress is doubling every decade, meaning a century of progress will occur over the next 25 years. The document outlines how fields like biomedicine, nanotechnology and information technology are converging and creating new types of jobs that require integrated skills from multiple domains. It provides several examples of new career opportunities and wages in areas like allied health, renewable energy, and advanced manufacturing that combine technical skills with other areas like mechanics, electronics, and computing. The document advocates developing both strong academic
Top cited managing information technology articlesIJMIT JOURNAL
The International Journal of Managing Information Technology (IJMIT) is a quarterly open access peer-reviewed journal that publishes articles that contribute new results in all areas of the strategic application of information technology (IT) in organizations. The journal focuses on innovative ideas and best practices in using IT to advance organizations – for-profit, non-profit, and governmental.
This document summarizes an EU-China Joint White Paper on the Internet of Things published in January 2016. It provides an overview of the latest developments of IoT in both the EU and China. In China, IoT development is supported by government policies and plans. Major applications are in industrial manufacturing, agriculture, energy, and smart cities. Internet companies are also playing a large role. In the EU, IoT is seen as key to economic growth. The European Commission is supporting IoT through policies, funding programs, and initiatives to develop standards and large-scale pilots. Future cooperation between the EU and China on IoT is proposed.
Intelligent alarm system for hospitals using smartphone technologyTELKOMNIKA JOURNAL
The document proposes an intelligent alarm system for hospitals using smartphone technology to reduce rescue time after a patient arrives at the hospital. The system utilizes an Android phone application that connects to a server to transfer data about accident incidents to hospitals. When an accident occurs, the application sends a message with the type of injury to the emergency services and hospital. The hospital reception model then receives the data and sends a warning message to the specialist doctor to prepare for treatment. The system aims to minimize routine procedures that take time in order to provide faster access to patient data and emergency treatment after reaching the hospital.
The document proposes a life saving system to reduce accidents caused by mobile phone use while driving. The system would detect if a driver is using a mobile phone based on radio frequency and camera detection. It would then gradually slow the speed of the car, light warning lights, record the incident, and send it to traffic authorities. The goal is to decrease mobile phone use by drivers and increase safety through deterrence and awareness of risky behavior.
IRJET- Self Driving Car using Deep Q-LearningIRJET Journal
This document describes a study on developing a self-driving car prototype using deep reinforcement learning. The researchers used a deep Q-network (DQN) algorithm to train an agent to control a simulated car directly from sensor inputs like cameras. The DQN was able to successfully navigate the simulated environment and control the car without any knowledge of its dynamics. While the discrete state-space DQN achieved stable control, the researchers believe the work could be extended to use continuous action spaces to allow for varying speeds and improved reward functions. The document also provides background on deep learning, autonomous vehicles, and reviews related work applying reinforcement learning methods to autonomous driving tasks.
Human Interaction with IT systems And Continued AirworthinessSander de Bree
The presentation of the Sentinel research as presented during the Airline & Aerospace MRO & Flight Operations IT Conference -Frankfurt,12th of June 2012
The document summarizes new courses developed at Milwaukee Area Technical College (MATC) to prepare students for careers in mobile device administration. It describes a new course called ITSUP-153 Mobility+ Device Administration that covers administration of iOS, Android, and Windows mobile platforms. The course helps students prepare for the CompTIA Mobility+ certification and provides hands-on learning with mobile device management tools. The document also lists additional new and existing MATC courses related to IT support careers.
This document discusses research on smart cars and intelligent transportation systems. It describes how current vehicles use sensors and computer systems to detect surroundings and operate safely. The researchers expect that within several years, advanced automation and smart driving assistance will become standard in vehicles. The document also reviews literature on implementing safety and technology systems in smart vehicles and infrastructure to communicate and make decisions to increase safety and efficiency.
IRJET- Face Recognition using Deep LearningIRJET Journal
This document summarizes research on face recognition using deep learning techniques. It begins with an abstract discussing the use of facial recognition technology for identification and verification purposes. It then provides details on common face recognition methods, including Haar cascade classifiers for detection and Local Binary Patterns Histograms (LBPH) for recognition. The document finds that LBPH achieves 89.6% accuracy on still images, while convolutional neural networks (CNNs) can achieve over 99% accuracy. It concludes that facial recognition technology is increasingly being used for security applications and could potentially replace passwords and keys.
The document discusses PHP and argues that it gets some important things right despite its flaws. It acknowledges criticisms of PHP's unexpected behaviors and inconsistencies but defends PHP's approach to programmer workflow, state, and concurrency. It then introduces Hack, a gradual typing system for PHP that aims to address PHP's issues while preserving its strengths. Hack adds type inference and checking to PHP in a way that maintains PHP's productive development cycle. The author argues that with tools like Hack and the HipHop VM, PHP has evolved into a viable option even for projects that might otherwise use other dynamic languages.
This document provides guidance for teachers on teaching Technology and Livelihood Education (TLE) exploratory courses in the K to 12 curriculum in the Philippines. It discusses the overall goal of developing 21st century skills in learners and preparing them for work or further education. TLE courses are offered in grades 7-8 and focus on developing technological proficiency through hands-on learning. The document outlines the conceptual framework for TLE, describes the 24 exploratory TLE courses, and explains the design of the learning modules and lessons to ensure competencies are taught according to industry standards set by the Technical Education and Skills Development Authority. It provides direction for teachers on implementing the various parts of the TLE lessons to maximize student learning.
This document summarizes a project report for an Inventory Management System submitted for a computer science degree. The report includes an introduction to the organization and problem definition, an analysis of the existing manual system and proposed computerized system, and requirements for the new system. Key points:
- The report is for developing an automated Inventory Management System for a textiles company to improve on the existing manual process.
- The current manual system is inefficient, inaccurate, and time-consuming. It also cannot generate timely reports.
- The proposed computerized system aims to provide efficiency, accuracy, speed, online updates, and generate reports easily using a graphical user interface.
- System requirements include hardware specifications of computers and a
Chapter 2-Realated literature and StudiesMercy Daracan
This chapter reviews related literature and studies relevant to the present study. It discusses ideas from local and foreign sources on the importance of computer information technology and information systems. It also examines related theories like the iterative implementation approach and discusses how technologies like WAMP5, Windows 7, and web-based systems have influenced various fields and processes like enrollment. Finally, it summarizes some related local studies that have developed web-based enrollment systems to make the enrollment process more efficient.
This document defines key terms related to theoretical and conceptual frameworks, including concepts, constructs, variables, conceptual framework, and theoretical framework. It explains that a conceptual framework consists of concepts and proposed relationships between concepts, while a theoretical framework is based on existing theories. The purposes of conceptual and theoretical frameworks are to clarify concepts, propose relationships between concepts, provide context for interpreting findings, and stimulate further research and theory development.
This document outlines a proposed online supply inventory system for Bukidnon State University, Alubijid External Studies Center. It discusses the need to replace the current manual inventory system with a web-based system to more efficiently track supplies and equipment. The proposed system would be developed using PHP for programming, MySQL as the backend database, and CSS for interfaces. Screenshots are provided to demonstrate what the system may look like.
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Conceptual framework of web based expert system for troubleshooting millenium car
1. International Journal of Computer Science and Engineering Research Applications Vol. 11, No.2, 2014
Publication of India Academy of Science and Engineering
198
Abstract—Getting a millennium car (a car manufactured
from year 2000 upward), is most times not the main issue, but
maintaining it is the grand challenge for most people.
Maintenances of vehicles start from ability to understand the
cause of some minor problems and procedures to fix it up. To
prolong the life of the vehicles, there is need for the vehicle
users to understand some simple preventive and corrective
maintenance even if he/she would need the service of a
conventional mechanics. In this case vehicle owners must be
able to diagnose some minor mechanical and other related
faults in their vehicle. Here we proposed a conceptual
framework for development of a web-based expert system to
assist in diagnosing mechanical and other related problems in
the millennium cars. This system if developed and
implemented it would reduce the congestion in a mechanical
workshop, also save money on maintenances since the system
could render solution and some of the proffers solution could
be carried out by non-conventional mechanics.
Index Terms— conventional mechanics, web-based expert
systems, millennium cars, mechanical faults, mechanical
workshop, troubleshoots.
I. INTRODUCTION
In computing, a web-based application is any application
that uses a web browser as a client. The term may also mean
a computer software application that is coded in a
browser-supported programming language (such as
JavaScript, combined with a browser-rendered markup
language like HTML) and reliant on a common web
browser to render the application executable.
An expert system is an advanced computer that is aimed
at emulating human intelligence and reasoning. Expert
systems can be used in decision making especially in a
computer-aided system for monitoring and information
processing [1].
There are no areas of human endeavor that expert systems
are not applicable. Having a car excites everyone but at the
same time, those who own a car definitely don‘t like to have
problems with their cars as troubleshooting can be much of
a headache to them especially, women [2].
Some of those who own cars don‘t know how to handle it,
whenever it‘s having a problem. All they know is start the
engine, drag the clutch, press the paddle and break when
they need to. They won‘t know what to do when something
happens to their cars. All they can do at least is, call the
mechanic for help.
In this era of computer age and internet application, it
would be nice if a web-based expert system can be
developed to diagnose mechanical and other related faults
in our vehicles.
If this research is completed and implemented, it will help
vehicle owners to find solutions to some common faults in
their vehicles without having to consult a motor vehicle
specialist (Mechanic). Hence reduce the congestion in a
mechanical workshop, also save money on maintenances
since the system could render solution and some of the
proffers solution could be carried out by non-conventional
mechanics, it will also reduce the time spent in
troubleshooting the cause of the problems in a motor
vehicle.
A. Statement of Problem
Dealing with motor vehicle problems are most times
handled by mechanics. There are times when urgent help is
needed and they might not be readily available or might cost
time and expense to get them around; this is where this
expert system bridges the gap. This expert system will serve
as a first aid guide to enable users handle issues that may
arise with their automobiles, thereby saving time and cost
that would've been procured.
B. Aims and Objectives
This research work is aimed at achieving the following;
To emphasize and represent the application of
web-based expert system techniques in
troubleshooting solving common faults in motor
vehicles.
Provide recommendations in cases of motor
vehicles break down
Provide maintenance advices to users in order to
prevent future faults from occurring
C. Scope of Study
The research will cover the troubleshooting and
Conceptual Framework of Web-Based Expert System
for Troubleshooting Millennium Cars
1
Adedeji W. Oyediran 2
Adetoba B. Tiwalola 3
Haastrup V. Adeleye 4
Yekini N. Nureni
1
Department of Mechanical Engineering, Yaba College of Technology, Lagos Nigeria
2,3,4
Department of Computer Technology, Yaba College of Technology, Lagos Nigeria
2. International Journal of Computer Science and Engineering Research Applications Vol. 11, No.2, 2014
Publication of India Academy of Science and Engineering
199
recommendation of solution for millennium cars (case study
Toyota, Nissan and Mercedes Benz vehicles).
II. LITERATURE REVIEW
A. Expert system in various fields of study
Any successful decision-making is strongly dependent upon
various capabilities that include the effective acquisition,
storage, distribution, and sophisticated use of the
knowledge of the human experts in the field. In the context
of computer-aided systems for monitoring and information
processing, these capabilities would be achieved through
developing an expert system [3].
Yang and Okrent [4] had also said that the most successful
application of Artificial Intelligence (AI) in decision
making so far is the development of Decision Support
System (DSS), particularly expert system, which is a
computer program that act as a ‗consultant‘ or ‗advisor‘ to
decision makers [5]. Expert systems are cheaper compared
to human experts in the long-term scenario. However,
expert systems are relatively costly to develop but easy and
cheap to operate [6].
Expert System has been applied in many ways and various
fields which are mean to make human‘s life simple and even
easier. The application of expert systems technology in the
domain of environmental management is particularly
appropriate in order to preserve and disseminate efficiently
valuable and scarce expertise at reasonable costs. For
example, Nigeria‘s NigComSat-1R Satellite is a critical ICT
backbone infrastructure to drive the National ICT
revolution in providing revenue diversification for the
Nation and offering cost effective solution and affordable
access to meet Nigeria‘s telecommunications, broadcast,
aviation, maritime, defense and security needs. Once an
expert system is developed, it is necessary to make them
easily updateable, as opposed to conventional algorithms
which are static in the sense that, governing relationships,
once determined, stay fixed [7] Also, some expert systems
are able to a give reasons towards the given answer.
B. History of Expert system for vehicle Troubleshooting
The first diagnostic Expert System for technical fault
troubleshooting in motor vehicles was developed at MIT in
the early 1970‘s [8]. Kadarsah proposed and designed a
decision model for car fault troubleshooting in which an
Expert System (ES) was utilized to help inexperienced
mechanics and drivers. The model consisted of inference
engine, knowledge base, database, user interaction and
adaptive mechanism. The Inference engine used backward
chaining as a result of a small number of outputs with many
possible inputs. In addition, the adaptive mechanism was
utilized in the user interaction section in order to receive
feedback about system troubleshooting result. The feedback
results were stored in a database. The adaptive system then
processed the stored data and extracts additional rules with
the goal of improving the knowledge base [9].
Car failure detection KBS was proposed by Ricardo Nurzal.
In this system, car faults were divided into three states:
Start-up state, Run-stable state and Movement-state. Shell
Rule based expert system (CLIPS), with forward chaining
inference engine were used in the implementation. CLIPS
stored the knowledge in rules form, which had logic-based
representation as well as the production rules. The system
interacts with the user through an interface and gave the
troubleshooting result with illustration. The rule-based
expert system contained 150 rules for car failure causes.
However, improvement in the domain knowledge and
applying adaptive technique for knowledge creation were
required in such system. In the work of Peter Nabende and
Tom Wanyama, Heavy Duty Diesel Engines (HDDEs)
troubleshooting was proposed. HDDEs maintenance
required high technical skills and extensive experienced
mechanics that were scarce. As a result, employing an
expert system in such domain was highly useful.
The HDDE faults troubleshooting Expert System (ES) was
able to successfully detect malfunctions in the engines and
give recommendation of corrective actions.
However, the proposed prototype was not promoted to be
used as a complete application due to time and resources
limitations. Further surveys were done by [4] for developing
motocultivator fault troubleshooting model. This model was
based on the hybridization of Expert System (ES) and
Decision Support System (DSS) in which ES outcome
represented the input to the DSS. The supplier selection for
faulty component replacement was made by DSS based on
ES outcome. In practice, the designed hybrid system was
applied in a small motocultivator importer and distributor
company for servicing purposes. It proved to be a very
useful tool for equipment servicing needs with low
development cost. It increased the efficiency of labor and
workers‘ satisfaction.
C. Millennium Cars
There are some technical and design aspects that
differentiate millennium cars from old ones. Without
considering the future of the car, the modern era has been
one of increasing standardization, platform sharing, and
computer-aided design [10]. Some particularly notable
advances in modern times are the widespread of front-wheel
drive and all-wheel drive (4-wheel drive), the adoption of
the diesel engine, and the wide use of fuel injection [11].
Other things that characterize modern day cars are;
automated indicators/alert and sounds. Some examples are;
Continuous “pong” sound indicating that the seat
belt is not strapped
A light indicator on the dashboard to show that the
door is not properly closed or open
Cameras at the back of cars with an LCD screen
within, to enable drivers see what is behind them
when reversing
GPS navigation system with voice guidance
While all of these advances were first attempted in earlier
eras, they have dominated the market today that it is easy to
3. International Journal of Computer Science and Engineering Research Applications Vol. 11, No.2, 2014
Publication of India Academy of Science and Engineering
200
overlook their significance. Nearly all modern passenger
cars are front-wheel drive, with transversely mounted
engines [12]. Body styles have changed as well in the
modern era. Three types, the hatchback, sedan, and sport
utility vehicle, dominate today's market, yet are relatively
recent concepts. All originally emphasized practicality, but
have mutated into today's high-powered luxury crossover
SUV, sports wagon, two-volume Large MPV. The rise of
pickup trucks in the United States, and SUVs worldwide has
changed the face of motoring, with these "trucks" coming to
command more than half of the world automobile market
[13].
The modern era has also seen rapidly rising fuel efficiency
and engine output. Once the automobile emissions concerns
of the 1970s were conquered with computerized engine
management systems, power began to rise rapidly. In the
1980s, a powerful sports car might have produced 200
horsepower (150 kW) – just 20 years later, average
passenger cars have engines that powerful, and some
performance models offer three times as much power.
D. Conventional Motor Mechanics
Motor mechanics are involved with the servicing,
maintenance and repair of cars and light vehicles. The work
is wide ranging and includes routine servicing in accordance
with manufacturers' recommended procedures and the
testing and approval of the structural, mechanical and
electrical systems of the vehicle [14]. A vehicle may be due
for a service after it has travelled a certain number of
kilometres or after a certain period of time, according to
instructions set out by the vehicle's manufacturers.
Mechanics also repair vehicles that have broken down or
been involved in accidents servicing involves;
Making routine checks according to a list,
Finding faults or problems,
Overhauling or replacing worn or faulty parts, and
Using special equipment and road tests to make sure
the vehicle performs as it should
Sometimes customers take their vehicles to mechanics to
investigate a particular mechanical fault. Solving these
problems may involve stripping down the affected part of
the car in a workshop area, finding the faulty components
and replacing them, and then putting all the parts together
again [15]. Mechanics tend to replace parts rather than
repair them because this is quicker and therefore less costly.
Mechanics also deal with electrical and electronic systems,
which are becoming more and more sophisticated on
modern vehicles. For example, mechanics may connect
laptop computers to a vehicle's electronic control unit, using
an on-screen menu to choose the part of the vehicle they
want to investigate. The computer is able to find and report
back information on the fault, for example, a break in circuit
wiring. With older vehicles, mechanics use electrical testing
equipment like voltmeters and ammeters to test electric
circuits/components.
Mechanics use specialized equipment to measure things like
engine and brake performance, transmission and the
accuracy of dashboard indicators.
E. Troubleshooting of Cars
Troubleshooting means to determine or analyze the cause or
nature of a problem or situation. Motor vehicles are bound
to develop fault(s) at one point in time and it is desirable to
detect severe faults in order to protect the vehicle from
damage. Early detection of faults can lead to avoidance of
serious damage of the vehicle [16].
Troubleshooting section can be divided into three parts:
fault detection, fault isolation, and fault size estimation. It is
important to determine if a fault has occurred or not
(detection); when a fault is present, the location of the fault
is needed (isolation); and we also desire to know where
applicable the size of the fault (identification).
Another approach that is described in Literature that should
apply to troubleshooting and troubleshooting of Motor
vehicles would be Failure Mode and Effects Analysis
(FMEA) [17].
When designing any troubleshooting system whether a hard
copy service manual or an elaborate troubleshooting expert
system, models of device failures are used to trace the root
cause of the system and component failures.
F. Advantages of Expert Systems over Conventional
Mechanics
The use of Expert systems provides many advantages over
conventional mechanics.
Conventional mechanics would sometimes result in low
performance and reliability (in the case of one that is not
well equipped with car diagnostic knowledge). Some
reasons given by [18] as to why Expert systems have been
developed to replace a human expert include:
To make available expertise after hours in other
locations.
To reduce on expenses associated with a human
expert.
To provide expertise in a hostile environment.
To aid an expert in some routine task to improve
productivity.
To aid an expert in some difficult task to efficiently
manage complex problems.
To make available human expert information that is
difficult to recall.
III. RESEARCH METHODOLOGY AND FRAME
WORK
A. Data Collection Method
The form of data collection method to be used will be as
follows:
Several interview sessions with automobile
engineers, conventional motor mechanics,
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201
automobile electrician, and other relevant stake
holders in automobile industry.
Studying of automobile manual and
documentation for Toyota, Nissan, and
Mercedes Benz.
Through the period of data collections, we shall collect
information‘s relating to millennium cars faults as in:
problem summary, causes, possible solution and precaution
to avoid re-occurrence.
B. Analysis and Design of the Proposed System
The system shall be a database driven web application
that is completely updateable by a privileged personnel
(Administrator), the information will be stored or updated
based on manufacturers brand, year and model.
The application user will obtains required information
through links to each category of vehicles they want, in
addition, searches are carried out extensively as well
through search boxes and category selection boxes ensuring
proper accurate results are obtained by the user.
To promote easy access to information, searches can be
done straight from the home page reducing stress to the user
therefore improving user experience to some degree.
C. Description of its Components
This web-based automobile expert system will not
completely replace engineers and conventional mechanics,
whose expertise and experience are still the base of the
applications development and required in field work, it is
only an update for technology.
The system will comprise of an administrative section
and a user section. The administrative section consists of the
administrator login panel for user authentication and the
administrator dashboard which contains tools for creating,
viewing and consequently editing vehicle related
information based on predefined categories in car parts and
sub car parts where necessary, associated problems, and
solutions. The administrative section utilizes form elements
for collection of data from the application administrator,
this data in turn will be sent to PHP snippets created to
handle the tasks of obtaining such data validating them
where necessary and sending them to the database
application for storage. These snippets make up the
backbone of the application as they are responsible for all
interactions from the administrator to the database.
The user section will comprises of the application home
page containing information on how to use the system, and a
chief search input element which the users utilize in
launching a pilot search on the problem they are
experiencing with their vehicle. Upon user search data
submission, a search is carried out based on the car-part, sub
car-part, problem description, and solutions, the user is
redirected to the main user dashboard containing the tools
they would need to take advantage of the application, should
their search yield no result at first, the user dashboard allows
them view all the problem information the system has to
offer. Figure 1 illustrate model of the proposed database for
the proposed system, while figure 2, illustrate the flowchart
for the proposed system.
Figure 1: Proposed Model of the Database
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Figure 2: Flowchart of the proposed system
I. DESIGN AND IMPLEMENTATION
A. Choice of programming language
The choice of programming language will be PHP
(Hypertext pre-processor) for server-side scripting,
JavaScript and HTML5 for media content management and
MYSQL as the back-end database. In addition, these
technologies are open-sourced and are available for
download for free of charge or come packaged with most if
not all browsers, as they are the rendering interfaces for all
web based applications.
B. Input Design
The input design depicts the means and methods through
which users or the administrator passes data to the system
for processing. It involves the GUI (graphical
user-interface) which employs form tools such as textboxes,
selection boxes, input fields and a host of other HTML and
HTML5 form tools that allow the user or administrator to
interact with the system without necessarily following a
predefined order. The user interaction with the system starts
at the home page search form where the user enters the
vehicle related problem they are experiencing in the search
field. The popup suggestion box underneath the search input
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field displays problem names matching the text the user is
currently entering into the search field obtained through the
use of web 2.0 technology called AJAX(Asynchronous
JavaScript And Xml) from the MySQL database, if no
match is found it prompts the user about it but encourages
them to still search. After the user searches, they are
redirected to the applications dashboard and their search
results are displayed for them. From here, the user can
continue interaction with the system based on the
predefined category they need information on such as the
car-parts and sub car-parts. They can also carry out more
searches.
C. Output Design
The output defines the way the system responds to users
interactions. It shows the various means it uses to present
information to the users for decision making. The system
presents information to users based on their search obtained
from the home page‘s search form. The users obtain
information about their search from the application‘s
dashboard. The user can then view more information and
perform more searches from there; they can as well choose
the information that is relevant to their search criteria.
D. Implementation
This stage involves the various aspects that would be
considered in order to put the new system to proper use and
for it to deliver effectively and efficiently. It considers the
factors that affect the successful running of the new system
which includes: hardware requirement, software
requirement, human ware (users), testing, and
documentation.
E. Hardware requirement
The infrastructure needed to run the Automobile Expert
System shall include high computation capability (i.e. CPU)
due to client request and Asynchronous request processing
referring to AJAX technology, minimal volume of storage
device in gigabyte (GB) range to provide space for the
impending large database of information, large bandwidth
to compensate for high internet traffic and client
connections. The aforementioned facilities are provided by
the hosting service at a rent. However, the clients/users (the
administrators and users) accessing the solution should have
the following minimum requirements.
A multimedia enabled Personal Computer (PC)
or Personal Digital Assistant (PDA).
A modem/DSL for internet connection
Prior minimal knowledge in the case of the client
on internet use and professional internet and
application knowledge on the path of the
administrator.
F. Software requirement
As mention above, the software platform to host the
application will be provided by the cloud, but the
clients/users‘ needs the following:
An advanced operating system on personal
computer or smartphones and devices such as
windows, linux or macintosh OS, and for mobile
devices Android OS.
An updated web browser that supports HTML5
on personal computer, smartphones and related
devices.
II. CONCLUSION
This proposed expert system (web application) will help
Toyota, Nissan, and Mercedes Benz vehicle users have a
better understanding of their cars. It will contain all the
common faults experienced daily by users of mentioned
brand of vehicles, as well as provides solution to those
problems. Although, this software will provides solution to
some categories of problems, it may not have all the
problems and solutions but the good news is that it is subject
to improvement and enhancement – meaning that the web
application administrators will continue working round the
clock to keep it up-to-date in order to satisfy the needs of
users.
ACKNOWLEDGMENT
We acknowledgment the support of management of yaba
college of technology for financial supports and providing
enabling environment for research work and publication in
the college
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