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Qatar Foundation Annual Research Conference Proceedings Volume 2018 Issue 3
- Conference date: 19-20 Mar 2018
- Location: Qatar National Convention Center (QNCC), Doha, Qatar
- Volume number: 2018
- Published: 15 March 2018
21 - 40 of 77 results
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Variable Message Sign strategies for Congestion Warning on Motorways
Authors: Wael Khaleel Mohammad Alhajyaseen, Nora Reinolsmann, Kris Brijs and Tom Brijs1. Introduction Motorways are the safest roads by design and regulation. Still, motorways in the European Union accounted for nearly 27,500 fatalities from 2004 to 2013 (Adminaite, Allsop, & Jost, 2015). The likelihood of the occurrence of rear-end collisions increases with higher traffic densities. This is alarming considering the proportion of traffic on motorways has increased over the past decade (Adminaite et al., 2015 Read More
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Qatar Meteorology Department Security Enhancement Recommendations
More LessThe Internet has become part of almost every organizational culture where security threats increase with the increase use of the Internet. Therefore, security practice has become increasingly important for almost every organization where is the same case of the Qatar Meteorology Department (QMD) in the state of Qatar. The aim of this research is to evaluate the current security level of the QMD by examining the Read More
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A Reverse MultipleChoice Based mLearning System
Authors: AbdelGhani Karkar, Indu Anand and Lamia DjoudiMobile learning can help in accelerating the students’ learning strengths and comprehension skills. Due to the immediacy and effectiveness of mobile learning, many mobile educational systems with diverse assessments techniques have been proposed. However, we observe a common limitation in existing assessments techniques, such as, the learner cannot correlate question and answer choices or freely adapt answer Read More
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Tackling item coldstart in recommender systems using word embedding
By Manoj ReddyWe live in the digital age where most of our activities and services are carried out over the internet. Items such as music, movies, products etc. are being consumed over the web by millions of users. The number of such items is large enough that it is impossible for a user to experience everything. This is where recommender systems come into play. Recommender systems are employed to play a crucial role of filtering Read More
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Analyze Unstructured Data Patterns for Conceptual Representation
Authors: Aboubakr Aqle, Dena Al-Thani and Ali JaouaOnline news media provides aggregated news and stories from different sources all over the world and up-to-date news coverage. The main goal of this study is to find a solution that is considered as a homogeneous source for the news and to represent the news in a new conceptual framework. Furthermore, the user can easily and quickly find different updated news in a fast way through the designed interface. The Read More
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A Machine Learning Approach for Detecting Mental Stress Based on Biomedical Signal Processing
Authors: Sami Elzeiny and Dr. Marwa QaraqeMental stress occurs when a person perceives abnormal demands or pressures that influence the sense of well-being. These high demands sometimes exceed human capabilities to cope with. Stressors such as workload, inflexible working hours, financial problem, or handling more than one task can cause work-related stress which in turn leads to less productive employees. Lost productivity costs global economy approxi Read More
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Inhomogeneous Underwater Visible Light Communications: Performance Evaluation
Authors: Noha Hassan Anous, Mohamed Abdallah and Khalid QaraqeIn this work, an underwater visible light communications (VLC) vertical link performance is evaluated. Underwater environment is known of its inhomogeneous nature versus depth. A mathematical model for the received power (Pr) is derived and bit error rates (BER) are computed under different underwater conditions. A numerical example is given for illustration of the deduced model. Our results suggest that an optimu Read More
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Framework of experiential learning to enhance student engineering skill
Authors: Fadi Ghemri, Houssem Fadi and Abdelaziz BourasIn this research work, we propose a framework of experiential learning to enhance student work skills and experience. This research main to contribute to the development and expansion of local industry, through the conduct of long-term fundamental research that contributes to the science base and understanding needs of national economy through industrial by providing an adapted method, enhance the teaching c Read More
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QCRI's Live Speech Translation System
Authors: Fahim Dalvi, Yifan Zhang, Sameer Khurana, Nadir Durrani, Hassan Sajjad, Ahmed Abdelali, Hamdy Mubarak, Ahmed Ali and Stephan VogelIn this work, we present Qatar Computing Research Institute»s live speech translation system. Our system works with both Arabic and English. It is designed using an array of modern web technologies to capture speech in real time, and transcribe and translate it using state-of-the-art Automatic Speech Recognition (ASR) and Machine Translation (MT) systems. The platform is designed to be useful in a wide variety of situations like Read More
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Humans and bots in controversial environments: A closer look at their interactions
Authors: Reham Al Tamime, Richard Giordano and Wendy HallWikipedia is the most influential popular information source on the Internet, and is ranked as the fifth most visited website [1] (Alexa, 2017). The English-language Wikipedia is a prominent source of online health information compared to other providers such as MedlinePlus and NHS Direct (Laurent and Vickers, 2009). Wikipedia has challenged the way that traditional medical encyclopaedia knowledge is built by creating an Read More
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Nonorthogonal Multiple Access for Visible Light Communications: Complementary Technology Enabling High Data Rate Services for 5G Networks
Authors: Galymzhan Nauryzbayev and Mohamed AbdallahIntroduction: The last decades have been remarkably noticed by an explosive growth of myriad applications in wireless communications, which become an inevitable part of everyday life. Apparently, such services can be characterized by high data content and consequently require high data rates. With respect to the fundamentals of information theory, the data rate at which information can be delivered to the receiver Read More
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Deep Learning for Traffic Analytics Application FIFA2022
Authors: Abdelkader Baggag, Abdulaziz Yousuf Al-Homaid, Tahar Zanouda and Michael AupetitAs urban data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. We are interested in developing a new generation of deep learning based computational technologies that predict traffic congestion and crowd management. In this work, we are mainly interested in efficiently predicting future traffic with high accuracy. The proposed deep learning solution allows the r Read More
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Virtual Reality Glove for Falconry
More LessFalconry hunting is an Arabic traditional sport and has great significance in Qatari society, as it is a major part of their culture. Falconry is about hunting small birds or animals, by using different types of falcons. The falconry in virtual reality (VR) can preserve Qatari culture by making the sport easy to access for all stream of people. The main idea behind this project is to educate and experience real time falconry to the p Read More
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Enabling Efficient Secure Multiparty Computation Development in ANSI C
Authors: Ahmad Musleh, Soha Hussein, Khaled M. Khan and Qutaibah M. MalluhiSecure Multi-Party Computation (SMPC) enables parties to compute a pub- lic function over private inputs. A classical example is the millionaires problem, where two millionaires want to figure out who is wealthier without revealing their actual wealth to each other. The insight gained from the secure computa- tion is nothing more than what is revealed by the output (in this case, who was wealthier but not the actual value of th Read More
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Demonstration of DRS: Dynamic Resource Scheduler for Distributed Stream Processing
By Yin YangWe propose to demonstrate DRS, a novel dynamic resource scheduler module for distributed stream processing engines (SPEs). The main idea is to model the system response time as a function of input characteristics, including the volume, velocity, and distribution statistics of the streaming data. Based on this model, DRS decides on the amount of resource to allocate to each streaming operator to the system, so that (i) the Read More
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Integration of Multisensor data and Deep Learning for realtime Occupancy Detection for Building Environment Control Strategies
Authors: Dabeeruddin Syed and Amine BermakOne of the most prominent areas of energy consumption in residential units is for heating, ventilation and air-conditioning (HVAC) systems. The conventional systems for HVAC depend on the wired thermostats that are deployed at fixed locations and hence, are not convenient and do not respond to the dynamic nature of the thermal envelope of the buildings. Moreover, it is important to note that the distribution of the spa Read More
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Challenges and Success in setting up 3D Printing Lab integrated with EMR and VNA in a Tertiary care hospital in Middle East
Authors: Zafar Iqbal, Sofia Ferreira, Avez Rizvi, Smail Morsi, Fareed Ahmed and Deepak KauraIn recent years’ 3D printing, has shown exponential growth in clinical medicine, research, and education (Carlos et al.). Imaging departments are at the center of 3D printing service delivery, efforts of establishing a 3D printing lab, and making it a unique contribution towards patient care (Kent Thielen et al.). Building a fully electronic medical record (EMR) integrated workflow to deliver 3D services offers unique advantages for cl Read More
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ELearning for person with disabilities
More LessE-learning is the use of Internet technologies or computer-assisted instruction, to enhance and improve knowledge and performance, because knowledge is the basic right for a human right that should be accessible by everyone regardless of the status of they disabilities. E-learning technologies offer learners control over content, learning sequence, pace of learning, time, and often media, allowing them to tailor thei Read More
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Proactive Automated Threat Intelligence Platform
More LessImagine you are sitting at a public coffee shop and using their free wifi on your work device. As long as you are connected to corporate VPN, you are well protected. The moment you go off, you are no longer protected. Your laptop is now open to being hacked and attacked at public wifi locations like airports, hotels, coffee shops, parks etc. My proposed solution involves an automated proactive cloud based threat intellige Read More
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A Passive RFID Sense Tag for Switchgear Thermal Monitoring in Power Grid
Authors: Bo Wang and Tsz-Ngai LinI. Background In power grid, circuit breakers in switchgears are often the last line of defense when big systems must be protected from faults [1], sudden switchgear failures could cause long outages, huge economic losses and even present threats to the public safety. Based on field experience, the major causes of switchgear failure are loose or corroded metal connections, degraded cable insulation and external ag Read More
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