GRADUATION ROJECT SHOWCASE 2017 - 2018
Introduction The College of Computer Science and Information Technology (CCSIT) at Imam Abdulrahman Bin Faisal University (IAU) is one of the largest colleges in the University. Since its establishment in 2010, the College has been committed to provide its students with an innovative and state-of-theart computer science curriculum that will enrich their knowledge and give them the experience they need to effectively contribute to the advancement of technology. Whereas the college aims and puts great importance to provide outstanding graduation projects for the level 10 students, and it is keen to be in applied areas or community service as technology now is part of different areas applied, life and medical fields. Based on this principle, an exhibition is held annually for such projects. This booklet provides a brief introduction for these projects at the College . It includes 12 projects for Computer Science program (CS), 5 projects for Cyber Security program (CYS) and 12 projects for Computer Information Systems program (CIS) for both male and female sections.
Contents Project Title CS Projects: Automatic Seismic Fault Detection DARB Well log Business Object Development Freelance Makeup Artist Application Location-based Social Networking Mobile Application Car Parking System Preemptive Diagnosis of Chronic Diseases (PDCD) Project Indoor Tracking and Monitoring System for Firefighters Abjad Application for Practicing Reading in Arabic Virtual Clinic Security Surveillance System Solving 0-1 Knapsack Problem Using Genetic Algorithms
Page No. 8 10 12 14 16 18 20 22 24 26 28 30
Contents Project Title
Page No.
CYS Projects: A Strong and Practical Authentication Mechanism Using PassText and OTP Human Behavior Towards Cyber Security Policies SecureSign: Signing Documents Online Secure Health Monitoring BitCube Cryptosystem
34 36 38 40 42
Contents Project Title
Page No.
CIS Projects: Pre-qualification for Contractors and Suppliers, a Web-based System Automated Influenza Surveillance (AIS) EasyShop Baher Educational Indoor Navigation Solution Real Time Web-based Vehicle Tracking System Breast Cancer Prevention Statistical Analysis EasyBid Computer Science and Information System (CCSIT SYSTEM) Watourism Booking System Wedding Planner Children Tracking Mobile Application Naviau: An Adaptable IAU Campus Navigator
46 48 50 52 54 56 58 60 62 64 66 68
CS
COMPUTER SCIENCE PROJECTS
8
Automatic Seismic Fault Detection Supervisors
Group Members
Dr. Fahad Alhaidari Email: faalhaidari@iau.edu.sa Ms. Wadha Almutar
Mahi Kamaleldin Email: 2140009972@iau.edu.sa Heba Motawei Areej Hazem Abed Nadeen Al.Amoudi Atheer Alshaikhhussain
Brief Description When interpreting reflection seismic data, the geologist aims to interpret and estimate the properties of Earth’s subsurface, such as the depth and orientation of rock formations, geological discontinuities, channels, and faults. Fault geometry on seismic data is one of the most important properties being tracked and analyzed by oil and gas companies, due to its high impact and effect on the extraction and production of oil and gas. It is a method used to determine the depth and orientation of rock formations without actually having to drill a well, because the average cost of drilling a well can range from $5 - $9.3 million dollars. However, manual fault detection based on seismic
9 data is time-consuming and difficult. Consequently, it can be supported by automatic mechanisms that rely on digital image processing. Numerous edge detection algorithms are regularly used on image processing of seismic data to abstract meaningful but subtle geological features, such as faults, which often come out as sharp edges and are not so conveniently and easily detected. This project, in tight collaboration with Saudi Aramco Oil Company, aims to develop a new or enhanced automatic discontinuities/fault detection algorithm, using image processing edge detection techniques, that could lead to increasing and improving the efficiency of detecting geological discontinuities on seismic data. Moreover, this project aims to implement several recent and commonly used edge detection algorithms for the purpose of comparison and analysis.
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DARB (Computational Intelligence Model for Accident Hotspot Prediction)
Supervisors
Group Members
Dr. Alaa Yahya Alahmadi Email: ayalahmadi@iau.edu.sa Dr. S.O. Olatunji (Aadam)
Fatima Bawazir Email: 2140009975@iau.edu.sa Yusra Alonaizan Hind Aljabr Nora Alwaddah Layana Alshae
Brief Description Road traffic injuries are a major but neglected challenge that requires concerted efforts for effective and sustainable prevention. Of all the systems which people must deal with daily, road traffic systems are the most dangerous and the most complex. In fact, road accidents are the number one cause of unnatural death worldwide, and numbers keep increasing by year. In a list of highest death rates caused by road accidents, Saudi Arabia ranked 23rd worldwide and second among Arabian countries. It is an avoidable death, which mainly claims the lives of male youth from the ages of 16 to 30. With the recent legalization of
11 driving for almost 25% of the population, we can expect rates to possibly increase. The purpose of this project is to understand where accidents happen and come up with supportive technology to facilitate reduction of accident rates and the associated risks. Understanding the possible locations could be of assistance in formulating an appropriate medical response. This project will see the development of a computationally intelligent model that can predict accident hotspots or daily accident cases. A wide range of machine learning techniques shall be applied to accident data sets such as artificial neural networks, NaĂŻve Bayes, and SVM. Furthermore, a complimentary android app will be developed for future data collection.
Patent Status Pending
12
Well log Business Object Development Supervisors
Group Members
Dr. Irfan Ullah Abdur rab Email: iurab@iau.edu.sa Ms. Atheer Al-Gherairy
Shamaah Logbi Email: 2140003889@iau.edu.sa Sara AlRamadan Hwazen Alotaibi Lamya AlTheeban Noura Alhajri
Brief Description Well logs is the essential component for petroleum engineering and geoscientists data analysis and decision making for reservoir performance monitoring, pay zones calculation, formation property determination and geological modeling building. We aim to develop a reusable well log business object to be used across various in-house development for petroleum, geophysical and geological platforms to read, write and query industrial well log standard file formats such as Log ASCII Standard (LAS), Digital Log Interchange Standard (DLIS), Log Interchange Standard (LIS), Basic
13 Information Tape (BIT) and Comma Separated Values (CSV). These are the standards for well log file format used in the oil, gas industry to store well log information. The well log business object development should focus on LAS and DLIS formats since it is the most used at Saudi Aramco environment. The project will be carried over one-year duration in three phases covering the following three areas: • Develop well log reader, writer library under java and .net technology for LAS and DLIS files. • Develop business capability of well log reader and writer to search file content and extract parts and store as new well log business object as DLIS or LAS. • Develop web based visualization capability to display LAS and DLIS file contents into log track.
Well Log Business Object Interface (file)
14
Freelance Makeup Artist Application Supervisors
Group Members
Dr. Dilek Dustegor Email: ddustegor@iau.edu.sa Ms. Asrar Almogbil
Jawaher Al-Khonaifer Email: 2130004215@iau.edu.sa Fay Alajji Roqia Ali AlZaher Anwar Mansor Al-Amrad Batool Taisir Al-Saeed
Brief Description An application to facilitate the process of ladies looking to book for a makeup artist. • • • •
User and makeup artists must sign in the application. User can make a brief profile contains number, location, and name. Makeup artists can make a profile and add their work. User can search the nearest and available artist in their area shown in the map.
15 • User can view makeup artist profile and check makeup artist’s work. • User can book an appointment in makeup artist’s profile. • User can send a chat message to makeup artist and makeup artist can reply in the application.
16
Location-based Social Networking Mobile Application
Supervisors
Group Members
Dr. Nasro Min Allah Email: nabdullatief@iau.edu.sa
Mohammed Alamodi Email: 2140010044@iau.edu.sa Ibrahim AlMejiel Hussain Alattas Saleh Alhomoud Mohammed Alrammah
Brief Description People are social by nature. They like to communicate with others and share their knowledge and experience. Technology made this easier by enabling the sharing of one’s experience with millions of people. In fact, a recent study shows that there are around 2.8 billion social media users as of January 2017 worldwide. Social networking websites enable users to share their experience anywhere and anytime they want. However, using such applications can affect human lifestyle such as the lack of physical interaction for users who spend a long time on them, and hence result in a static, undeveloped social level of individuals. Another study showed that the more you use social media, the worse you feel (depression, low self-esteem).
17 To overcome some of the aforementioned disadvantages associated with existing social application, we propose an Android-based mobile application that encourages physical activities of users while maintaining social networking features (e.g. comment, like, etc.). The application aims to help people to meet others in order to form new relationships. Our Android application focuses on human’s nature to socialize and explore. It enables users to pin messages on the map instead of posting on a profile. Users can only pin and read messages in a certain radius around them. Similarly, users have to move to another location in order to check relevant messages and events pertaining that particular area. Users will create their profiles and select their interests, and then they have the option to scan for the nearby users with similar interests.
18
Car Parking System Supervisors
Group Members
Dr. Dhiaa Abdulrab Ali Musleh Email: daMusleh@iau.edu.sa Mr. Nehad Mohamed
Ahmed Salem Email: 2140006391@iau.edu.sa Ali Abudeeb Essa Al-Younis Suliman Al-Suliman
Brief Description Nowadays, with the increase in population, the number of automobiles on the streets is increased dramatically, which raises a lot of parking related problems. During the business hours, most of the parking spaces are reserved which makes the task of finding a parking space tedious and difficult for drivers. To overcome this problem, an automated parking system is proposed to help drivers in finding the available parking spaces. The system will provide useful information about the availability of the parking spaces with direction to the selected parking space.
19
20
Preemptive Diagnosis of Chronic Diseases (PDCD) Project (Early Stage Project)
Supervisors
Group Members
Dr. S.O. Olatunji (Aadam) Email: osunday@iau.edu.sa Dr. Alaa Yahya Alahmadi
Reem Alassaf Email: 2140007768@iau.edu.sa Khawla Alsulaim Noura Alroomi Mishael Aljubeir Nouf Alsharif
Brief Description Early detection of the pre-onset or onset of chronic diseases (CD) can go a long way in preventing grave consequences or patient mortality. It has been established globally that the percentage of patients affected by CD has significantly increased in recent years and it’s still increasing at even higher rates. Also, it is an established fact that prevention is better than cure in disease management. Diabetes mellitus and chronic kidney disease are two of the most prevalent chronic diseases and are in the top ten causes of death in Saudi Arabia. Therefore, this project seeks to assist in the prevention of
21 these two chronic diseases by utilizing machine learning techniques to build a predictive model that can preemptively diagnose these two diseases with high accuracy. To make it possible for the public to benefit from this project, a website is developed that allows individuals to check out their predictive diagnosis.
22
Indoor Tracking and Monitoring System for Firefighters
Supervisors
Group Members
Dr. Nida Aslam Email: naslam@iau.edu.sa Ms. Mashael Alkadi
Huda AL-Fariyan Email: 2140004937@iau.edu.sa Albayan Sami Alwesaibie Bayan Hassan Zomarah Hawraa Almatrook Doaa Ahmed Alsaleh
Brief Description This project has been proposed by Imam Abdulrahman bin Faisal University. It’s intended to help firefighter to rescue people in faster and safer way. The inspiration for the idea is the emergency situations can pose an immediate risk to health, property, life, or environment. So, the firefighters often arrive at chaotic scenes and need to make sense of the environment and navigate a new place that they have never been. This project is implemented using beacons to enhance the performance of firefighters to get their operations done more efficiently. It gives the firefighters all the required
23 information of the building that requests such as the internal structure of the building that shows the rooms and the exists location. Also, it is providing the GPS location of the building to help them reach it faster. For instance, firefighters may face some difficulties in finding the location of the exits door inside an incinerating building which could lead to tragic accidents. Therefore, this project will assist the firefighters to identify exits doors in order to make their way through the flames faster and easier by allowing them to track their locations in the buildings. The proposed system provides an on-site wireless communication to transmit real-time position information of a firefighter in danger by tracking and tracing the firefighter’s incident path using a smartphone. For indoor tracking, the Bluetooth technique will be used with the beacon devices. Beacons are small devices which can be easily mounted on walls. Their mission is to help Smartphones determine the location using formulas to calculate location. Also, it connects to Google play API in order to deal with GPS locations.
24
Abjad Application for Practicing Reading in Arabic
Supervisors
Group Members
Dr. Malak S. Aljabri Email: msaljabri@iau.edu.sa Ms. Mona Altassan
Norah Alsunaidi Email: 2140001824@iau.edu.sa Alaa Habbabeh Lobna Alzeer Marwah Alattas Maha Alkatheiry
Brief Description Reading is a fundamental skill for learning. Yet, mastering accurate reading requires continuous practicing which might be dulling for some children. However, utilizing applications to serve as a fun tool to practice reading would motivate children to level up their reading skills. Abjad is a mobile application for Android platform, it targets primary one students in particular.Its content is based on their school book “Loghati�. The application smooths
25 the journey of mastering how to read correctly. The application employs speech recognition technology to interact with the user in a real-time manner by evaluating the accuracy of the child’s reading. After the child records his/her voice while reading the displayed word or sentence, a vocal feedback will be received. The application users can choose from a variety of lessons and tests that boost their progress.
Patent Status Eligible for commercialization
26
Virtual Clinic Supervisors
Group Members
Dr. Atta-ur-Rahman Email: aaurrahman@iau.edu.sa
Aghiad Bakry Ahmed Email: 2140010047@iau.edu.sa Hussam Salman Alfaifi Mohamed Bayouni Khalid Fahad Aljurashi Hamza Al Jeffri
Brief Description From many surveys, e.g., Saudi Gazette, Riyadh, Thursday, 28 May 2015, it is found out that number of female students is more than male students currently enrolled in the universities and this rate is even increasing with the passage of time. This ratio also holds in Medical sciences. However, there is small fraction of the lady doctors who work in their field, while the rest don’t join it at all due to various reasons. So that is a big human resource in medical field.
27 On the other hand, a geographically, a significant part of the kingdom comprises of rural/remote areas. Where the healthcare facilities are far from satisfaction. Because, the health professionals prefer to work in urban areas compared to rural areas. Virtual clinic is a solution to these both issues and by using information and communication technologies (ICT), the non-practicing lady health professionals (NPLHP) and the rural areas will be connected. In the proposal, the virtual clinics is a setup in the remote area with a nursing staff. When a patient visits the clinic, his/her vitals and other information is collected and sent to the central system via web or smartphone app. The system upon receiving the request, will automatically send it the relevant most doctor based on a suitability factor. The doctor in return, will send the prescription back to the clinic. The doctor will be facilitated by BNF (British National Formulary) database that will help him finding the relevant medicine etc. The clinic will advise the patient according to the prescription.
28
Security Surveillance System Supervisors
Group Members
Dr. Muhammad Aamir Shafi Email: mashafi@iau.edu.sa Mr. Nehad Mohamed
Mohammed Almutawa Email: 2130004828@iau.edu.sa Abdullah Adel Alkhamees Amen Abduljalil Algurain Ayman Abduljalil Algurain
Brief Description In a typical crime scenario, the law enforcement agencies might be tasked to locate a potential suspect with the help of videos recorded by multiple surrounding cameras. The usual and current method to locate the wanted subject is by a law officer going through a live security video feed trying to find a subject manually. Locating a subject manually can take a lot of time, and the subject could have left the crime scene. We propose to solve this problem by providing a web-based system using computer vision. The system is meant to be used by law enforcements to help finding wanted subjects faster. The system will have two modes; live feed and prerecorded feed, the
29 system will be able to analyses multiple video scenes. There will be user interfaces where the user can input query filter (including color of clothes, facial features etc.). In the live feed mode after locating the subject the system will send alert and highlights subject meeting the queried criteria. The prerecorded mode will enable the user to locate subjects and generate reports.
Patent Status Pending
30
Solving 0-1 Knapsack Problem Using Genetic Algorithms
Supervisors
Group Members
Dr. Garsah Farhan Al-Qarni Email: gfalqarni@iau.edu.sa Ms. Rahma Alzahrani
Dania Fahad Alzahrani Email: 2140004362@iau.edu.sa Abeer Abdallah Alahmari Malak Saeed Alqahtani Sarah Bashammakh Zahra Ibrahim Alsadah
Brief Description The 0-1 knapsack problem (KP) is one of the most important problems in integer programming. It has many real practical applications and it appears as a sub problem of more general problems, however the 0-1 knapsack problem is very difficult to solve as it is NP-complete. Due to its importance, many researchers have developed algorithms for its solution. Researchers have developed Dynamic Programming, Branch& Bound and Reduction technique for its solution.
31 In this project, a genetic algorithm GA is developed for the 0-1 knapsack problem. The proposed algorithm is compared with some exact and approximate algorithms in the literature.
CYS
CYBER SECURITY PROJECTS
34
A Strong and Practical Authentication Mechanism Using PassText and OTP
Supervisors
Group Members
Dr. Abdullah Almuhaideb Email: amAlmuhaideb@iau.edu.sa Ms. Norah Almubairik Email: naalmubairik@iau.edu.sa
Reem Zakria Alhawaj Email: 2140001467@iau.edu.sa Ghadeer Al-Sahwan Ghena Tariq Al-Ghussein Maram Issam AlQasim Nouf Mohammed Alshehri
Brief Description Nowadays, especially with technology’s fast development, password authentication mechanism is not enough anymore to provide complete security. This project aims to implement a strong authentication mechanism with a practical reauthentication technique that answers the question “how to increase the security of the authentication mechanism without sacrificing convenience?”. The proposed solution is a combination of a text file that the user has to modify, “PassText”, and a one-time password “OTP”. This is the closest it can get to having a password that consists of 1000 characters or more without having to remember it! All what the user has to do is remember a
35 small modification. Furthermore, the proposed solution can protect from different attacks such as keylogger, dictionary, brute force and guessing attacks all at once. This project is based on achieving four main solution requirements: convenience, security, cost-effectiveness, and speed. Our proposed solution breaks the securityconvenience tradeoff rules by providing an intelligent authentication combination that provides security and convenience at the same time.
Patent Status Applied
36
Human Behavior Towards Cyber Security Policies Supervisors
Group Members
Dr. Khalid Alissa Email: kaAlissa@iau.edu.sa
Hanan AlShehri Email: 2140001329@iau.edu.sa Basstaa AlSubaie Shahad Dahdouh Afnan AlGhamdi
Brief Description The project aim to design a web-game that can be used to collect data on human behavior toward cybersecurity policies. Type of test obstacles and choices made by the user, will identify their behavior toward the security policies. For example, choosing an easier task even though the harder one will give more point and more information to advance in the test means the user does not like security restrictions and he will always choose the easy way even if it means he will get less information. Some people
37 will be motivated by the incentive even if it requires entering a password or some more complicated security requirements. The data collected through this game will be analyzed to write a paper about human behavior toward cyber security policy in an incentive environment.
38
SecureSign: Signing Documents Online Supervisors
Group Members
Prof. Dr. Nazar Abbas Saqib Email: nasaqib@iau.edu.sa
Malak AlFosail Email: 2140001978@iau.edu.sa Muneera AlMuhaidib Maryam AlDossary Sarah AlQahtani AlAnoud AlZahrani
Brief Description The project mainly focuses on creating the whole framework for signing documents remotely in a secure way with a robust signature scheme which is implementing multifactor biometric authentication. This signer’s data will be acquired by using already existing technologies and providing a framework for signing remotely at sender side and verifying at the receiver side to authenticate a person. This project is motivated by, forming an alternative to the existing digital signature by using a long-term trustworthy authentication form: the dynamic biometric signature. Which rely on the idea that
39 ‘handwritten signature utilizes the individual’s natural ability’, to overcome the existing main issues related to verifying the authenticity, provide better security and enhance data integrity and non-repudiation by the signing parties.
40
Secure Health Monitoring Supervisors
Group Members
Prof. Dr. Nazar Abbas Saqib Email: nasaqib@iau.edu.sa
Noura Alhussaini Email: 2140003199@iau.edu.sa Monera Alhunaif Danyah Alrubaya Hassna Alshimmari
Brief Description This project aims in developing a secure electronic system that will ensure security of patient’s information for its transmission from patient’s end to storage server (cloud). A secure database of patient’s information will be established which can only be accessed by the authorized persons based on their roles. The project plans developing the process of detecting the chronic diseases in people before it occurred. And to enhance the secure electronic systems that are leading to raising the effectiveness of traditional systems. It is intended to contribute to build a health system that is compatible with HIPAA
41 standard and meet the security goals. Also, the project intends to facilitate periodical medical examination and time saving for both peoples and doctors.
Product perspective
42
BitCube Cryptosystem Supervisors
Group Members
Dr. Khalid Alissa Email: kaAlissa@iau.edu.sa
Hala Ehab Email: 2140010029@iau.edu.sa Randa Mujahed Abualrob Reem Ali Rawdhan Reem Fuad AlShareef Rawan Abdullah AlSleebi
Brief Description Internet of things (IoT) is a new significant technology that makes anything in different environments communicate with each other over the internet. Unfortunately, sensors that are used in IoT environments are not secure. That is due to their limited power capabilities and memory space that do not allow the implementation of the available strong cryptosystems. Therefore, this project aims to enhance the security of IoT environments by designing a new lightweight cryptosystem that is suitable for the IoT sensors nature. The BitCube cryptosystem is a lightweight cryptosystem that
43 depends on generating random, small, and constantly changeable keys by making a use of the Rubik’s Cube concept to generate these keys. It provides a high level of protection for the data transmission by achieving confidentiality, integrity, and authentication with a small memory space, and low power consumption.
Patent Status Awarded provisional patent
CIS
COMPUTER INFORMATION SYSTEMS PROJECTS
46
Pre-qualification for Contractors and Suppliers, a Web-based System
Supervisors
Group Members
Dr. Fatema Shaikh Email: fsshaikh@iau.edu.sa Ms Areej Buker
Rozana Tafish Email: 2140010084@iau.edu.sa Reham Algnammah Jamila Alshaki Israa Al-Musalmi
Brief Description The department currently uses an excel sheet that the supplier needs to fill and sends back with few documents. So, the department can technically and financially assess the supplier. What is needed is to build a web based system to replace the excel files. Where a supplier can be sent a link and he can fill all the needed information and attach the needed document. It is also preferred if the system can automatically check the validity of the documents by checking with government and semi-governmental organizations. The system must support dual language (Arabic and English).
47
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Automated Influenza Surveillance (AIS) Supervisors
Group Members
Dr. Mariam Elhussein Email: maelhussein@iau.edu.sa Ms Hina Gull
Aisha Alobaid Email: 2140000448@iau.edu.sa Aseel Ajez Maryam Alasfoor Noura Algaraawi Reem Aldulaijan
Brief Description Command and Control Center (CCC) in Saudi Arabia act as the formal platform for collecting and showing epidemic diseases-related data. Automated Influenza Surveillance (AIS) comes as an aid with the interactive visualization platform for decision makers include CCC. The system shows visualize (charts, maps and histograms) data about two important diseases in Saudi Arabia: Corona and Flu. Also, it seeks for data quality through allowing authorized doctors to report about both diseases. On the other hand, it incorporates normal people to report for flu-like-illness which implies
49 crowdsourcing concept among the Saudi community. To summarize, AIS is a system proposed for CCC in particular and Saudi community in general to facilitate decision making by health practitioners regards the spread of Corona and seasonal flu, and to raise community awareness regards both diseases.
Patent Status Pending
50
EasyShop Supervisors
Group Members
Dr. Samiha Brahimi Email: Sbrahimi@iau.edu.sa Ms Gomathi Krichna
Reem Alzhrani Email: 2140007952@iau.edu.sa Salha Alshehri Raghad Almubarak Mashael Alqahtani Amjad Alsaad
Brief Description In this project, an efficient and effective decision support solution for online grocery shopping is proposed. The framework focuses on increasing user satisfaction in terms of delivery time and cost. The main idea for time reduction is to give multiple delivery tasks to the same deliverer and then manage his daily schedule in real time manner. This will also influence positively the delivery cost since orders to the same regions will be grouped together. The system is composed of a scheduling component responsible of providing the best path to the deliverer by applying genetic algorithm on a modified
51 travelling salesman problem, a delivery cost calculation component based on the influence of each new order on the deliverer’s schedule and finally a deliverer filtering component which utilizes skyline user preference queries to shortlist the available deliverers according to their schedules, rating and delivery cost.
Patent Status Eligible for commercialization
52
Baher Educational Indoor Navigation Solution Supervisors
Group Members
Dr. Fahad Alhaidari Email: faalhaidari@iau.edu.sa Mr. Sardar Zafar Iqbal
Zakaria Kharsah Email: 2140010037@iau.edu.sa Mazin Fahmi Ahmed Abdolraouf Omar Ahmed Shawkat Ahmad Alsubaie
Brief Description Indoor navigation is relatively new technology that aims to guide people inside buildings such as malls and universities, so Baher solution will serve the educational field by integrating the indoor navigation with educational services such as automating the attendance recording process using BLE beacons that used for navigation, also Baher provides the ability for the college of computer science and information technology (CCSIT) members to view the classes schedule based on the location and check the room availability, adding to that they will receive location based notification about the CCSIT activities, and finally the application will provide navigation services inside CCSIT building.
53
Patent Status Eligible for commercialization
54
Real Time Web-based Vehicle Tracking System Supervisors
Group Members
Dr. Rachad Zagrouba Email: rmzagrouba@iau.edu.sa Mr. Sghaier Chaabani
Fayez AlRweili Email: 2140002556@iau.edu.sa Omar Alnujadi Mohammed Yaqoop Muath Almatrodi Abdurazak Ghnanam
Brief Description This project will be implemented through an android mobile application that tracks a chip. It ideally will work using integration of map system, mobile network, and Wi-Fi connection that will result in providing real time tracking information. The application will allow the guardian to specify a safe distance, if the one being tracked went any further, an alert notification will be send to the guardian’s mobile. This alert is not a real safety hazard it is just to notify users that the child or the elder is away but it does not mean that the tracked person is endangered. However, the application will still show
55 the location of the chip if it went out of the safe area as long as there is internet connection. Beside the previous features, the application would calculate the movement speed for the tracked person and the guardian will be notified if the movement speed for the tracked person gets increase dramatically through the time. In addition, the application provides static functions such as login, signup, password resetting, and feedback management.
56
Breast Cancer Prevention Statistical Analysis Supervisors
Group Members
Dr. Mohammed Gollapalli Email: magollapalli@iau.edu.sa Ms. Azzah Alghamdi
Ameerah Almahmoudi Email: 2140005214@iau.edu.sa Asma Awad Alalhoub Farah Salah Algusayer Shojon Saad Alqahtani Amani Alenazi
Brief Description This project aims to conduct data analysis and propose a new statistical analysis platform using WEKA Data Miner primarily focusing on data of patients living in Saudi, who are getting diagnosed with breast cancer. The project also aims at displaying a statistical analysis on the level of Breast Cancer awareness in the community after conducting a survey to collect community responses. Furthermore, this project through statistical analysis can help both the city hospitals and the government at large on analyzing big data collected through hospital systems and prioritizing health related funds especially in worst affected areas.
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EasyBid Supervisors
Group Members
Dr. Mohammed Alqahtani Email: maqhtani@iau.edu.sa Ms. Kholood AlNowaiser
Deena Alarifi Email: 2130001199@iau.edu.sa Sara Alqahtani Nada Alamri Nourah Alsubaie Asma Almutairi
Brief Description This application helps the user get offers for the service they need. On the registration interface, the user can be a customer or service provider: • If the user registers as a customer, the program will work as follows: The user will choose the type of service, write a description of their problem and they also can attach a picture. Then alert message will appear to the providers of that service and they can start the bidding. The user can categorize the offers by price or services
59 provider’s rating. Also, the user can automate the selection process depending on one category (price or rating). After the user chooses the best offer, he/she can choose the same or different location of what he/she wrote in the registration. Subsequently, when service has been provided the user has the option to rate the service provider and evaluate the service. • If the user register as a service provider, when any customer published a problem related to the service providers specialty they will receive an alert message and they can start the bidding.
60
Computer Science and Information System (CCSIT SYSTEM)
Supervisors
Group Members
Dr Abdullah Alqahtani Email: aamqahtani@iau.edu.sa Mr. Saeed Alqahtani
Abdulrahman Alotaibi Email: 2140003065@iau.edu.sa Khalid Alhamoudi Mohammed Alqahtani Abdulatief Alqahtani Rshoud Aldossari
Brief Description In every project, there are problems needed to be addressed and solved. Once the project conducted without a clear problem statement the probability of success is insignificant rather than having a clear problem statement. Regarding to this project, many problems are facing students. First of all, missing information which are missing description for both courses and lecturers. Also, missing the right steps or instructions to make a specific action in the college’s forms. Secondly, searching for an information
61 has been time wasting because there is no a particular resource to get the information from. Thirdly, lack of communication between the student and the faculty members especially the female section. Finally, finding the academic forms is somehow a difficult process.
62
Watourism Booking System Supervisors
Group Members
Dr Nahier Aldhafeeri Email: naldhafeeri@iau.edu.sa Mr. Ma’amon Ibrahim
Amr AlQahtani Email: 2120007384@iau.edu.sa Ahmed Abdullah Basir Waleed AlThukair Ahmed AlMulhim Mohammed AlEnazy
Brief Description Water activities do not see much support from the community because there is no proper way to manage the process of engaging in these activities. The goal of this project is to create a web application that manage the entire process of reserving water activities.
63
Patent Status Eligible for commercialization
64
Wedding Planner Supervisors
Group Members
Dr. Yasser Bamarouf Email: yabamarouf@iau.edu.sa Ms. Ruba Alsalah
Fatimah Baadheem Email: 2130008559@iau.edu.sa Bayan abdullah Aldahlawi Ayat Alsaed Jawaher ahmad alsaeed Marwa Al-Amoudi
Brief Description This project is to build a website that help couples to plan successful wedding events. The website will offer suppliers a unified and reliable platform to offer products and services related to events, such as food catering, event halls, and dresses, accessing wider range of clients and at the comfort of the users’ homes. The end product will ensure a user friendly and easy to use online wedding planner targeting wider users by supporting two languages namely Arabic and English. Also, it will allow clients to reserve a wedding halls, preorder food catering and choose the wedding cake, preorder
65 dresses as well as design invitation cards. It will help customers make decisions by providing ratings and adaptable recommendations.
Patent Status Eligible for commercialization
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Children Tracking Mobile Application Supervisors
Group Members
Dr. Rachad Zagrouba Email: rmzagrouba@iau.edu.sa
Zainab Al-Hilal Email: 2130007358@iau.edu.sa Fatima Al-Alawi Ruqya BinHussein Zahra Al-Khalaf Maryam Al-Mahmoud
Brief Description Tracking children mobile application could be connected to an embedded chip in bracelet through the wi-fi connection. The application gives real time, and correct result of the child location that could benefit the parents in saving their children. The application allows the user to specify safe area that if the child went out of this area, a notification will be sent to the parent.
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Naviau: An Adaptable IAU Campus Navigator
Supervisors
Group Members
Dr. Nesrine Mezhoudi Email: nimezhoudi@iau.edu.sa Ms. Asiya Abdul Salam
Saema Abd alHamid Email: 2140009934@iau.edu.sa Sarah Aljumaih Bashaer Almelehy Dana Alrassan Njoud Saleh Albut’hie
Brief Description The IAU campus is a complex infrastructure. It is aimed to be an extraordinary campus that brings together all academic buildings and the University Hospital into one cohesive university campus, creating an integrated ideal environment for both students and staff. However, visitors can be overwhelmed by the size of the campus and the number of buildings. Attending classes, meetings, conferences or finding a specified administrative office can be a challenge. Along with the advance in technology and popularity of mobile devices, the use of mobile applications increased enormously in the last years. Based on new techniques
69 like GPS and sensors, like compass and accelerometer, that can determine the orientation of the device, location-based applications coupled with augmented reality views are possible. In the context of this work, a mobile navigation application for the IA University is developed. The goal of the project is to create an application prototype for a smartphone, which supports people on the IAU campus. The resulting application enables the user finding paths to specific locations on campus and offers him the ability to explore the campus environment.
SPECIAL THANKS TO GRADUATION PROJECTS COMMITTEE
Vision
Mission
Values
To be a leading computing college at national, regional, and global levels
Provide quality computing education, discovery, and professional services with community engagements
Quality Education Technology and System thinking Research and Creative Work Community Partnership Commitment
Designed By Dr. Alaa Alahmadi Mrs. Mona Altassan
© Public Relations and Documentation Committee, CCSIT, IAU, 2018