Mohamed Elshaikh Elobaid Said Ahmed
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Mohamed Elshaikh Elobaid Said Ahmed
Official Name
Mohamed Elshaikh Elobaid , Said Ahmed
Alternative Name
Ahmed, Mohamed Elshaikh Elobaid Said
Said Ahmed, Mohamed Elshaikh Elobaid
Elobaid, Mohamed Elshaikh
Main Affiliation
Scopus Author ID
57190012447
Researcher ID
R-7502-2019

Research Output

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  • Publication
    Real-time drowsiness detection system for driver monitoring
    (IOP Publishing, 2020)
    M Arunasalam
    ;
    Naimah Yaakob
    ;
    Amiza Amir
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    N F Azahar
    Nowadays, the rate of road accidents due to microsleep has been alarming. During microsleep, people might doze off without realizing it. For many decades, drowsiness detection system for vehicles was not among the major concerns though it turns out as one of imperative features that could have avoid microsleep and thus should be implemented in all vehicles in order to ensure safety of drivers and other vehicles on the road. To the best of our knowledge, enforcements on driving restriction during drowsiness state is yet to be implemented. The absence of such system in the current transportation systems expose drivers to great danger especially at night because accidents are highly likely to happen at night due to drowsy and fatigue drivers. Therefore, this project proposes a real-time drowsiness detection system for vehicles, featuring ignition lock to reduce accidents. An eye blink sensor is embedded in a wearable glasses and heart beat sensor is used to detect drowsiness level of drivers. The system also includes SMS notification system to relatives or friends with location details of the drowsy driver. This project is able to detect and react based on 3 levels of drowsiness by alerting the driver through buzzer. Ignition lock will be applied when high level of drowsiness is detected. Consequently, the vehicle will be slowed down and eventually stopped when dangerous level of drowsiness is detected as a safety precaution.
  • Publication
    Overview of chameleon mechanism in B-MAC protocol for WSN
    (Learning and Library Sciences (LLS), 2020-12-15)
    Dafhalla, Alaa K.Y.
    ;
    Sid Ahmed, Nada M.O.
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Isam, Hiba M.
  • Publication
    Comparing and Assessing the Enhancements of DYMO and OLSR in VANETs
    ( 2020-09-21)
    Khalid Ahmed W.
    ;
    Mohd Nazri Mohd Warip
    ;
    Khalid Abduljabbar W.
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    The main aspect of this work is to study the differences and define the behaviour of two different routing protocols. The first side is Dynamic MANETs On- Demand (DYMO) while the other side is proactive, optimal link-state routing (OLSR) and both the first and second are interactive routing protocols in the Ad-hoc network (VANET). The efficiency of these protocols was analysed and studied based on the use of three performance indicators: PDR, normal load (NRO) and end-to-end de1ay (E2ED) on the ability to change the size of different nodes. Omnet ++ was used by the INET Framework. We also used the SUMO simulation tool to build random movement patterns for VANET. From full simulation, we noticed that OLSR is doing better than DYMO for VANET at a price. Late and, as a result, the development of OLSR work in VANETs compared to DYMO, packet receipt ratios (PDR), side-to-side delay, normal path load, and VANETs.
      9  27
  • Publication
    A cloud-based automated parking system for smart campus
    (IOP Publishing, 2020)
    O C Yee
    ;
    Naimah Yaakob
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    F Azahar
    Finding a vacant parking space is becoming a real problem especially in areas with limited parking spots such as airports, shopping centres, offices, as well as universities. Searching for available parking slots is normally time consuming and always results in frustration especially when time is the major constraints. Moreover, vacant parking is hard to be noticed due to unsystematic parking system. This will result in longer searching time which can also lead to traffic congestion. In addition, lack of security enforcement on cars entering universities campus is also one of the main issues contributing to insufficient parking spaces. This might cause some unauthorized cars to take opportunity to get inside the campus without any approval and consent from security department. Therefore, A Cloud-based Automated Parking System for Smart Campus is developed in this project. It consists of a sub-system that is developed to display availability number of parking slots so that it will assist authorize users to easily find their parking spots. The proposed system can also recognize car plate number through Automated Car Plate Recognition (ACPR) mechanism which is located at the campus main entrance gate to avoid unauthorized cars from getting in. This has strengthened security level inside campus and ensure the safety of students and staffs. All the information collected are sent into the cloud and stored inside a database system. The information regarding vacant parking can also be displayed using the developed mobile apps.
      7  2
  • Publication
    Feature extraction using Radon transform and Discrete Wavelet Transform for facial emotion recognition
    ( 2017-02-08)
    Hasimah Ali
    ;
    Vinothan Sritharan
    ;
    Muthusamy Hariharan
    ;
    Siti Khadijah Za'aba
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    This paper presents a new pattern framework of using Radon and wavelet transform for facial emotion recognition. The Radon transform is translation and rotation invariants, hence it preserves the variations in pixel intensities. In this work, Radon transform has been used to project the 2D image into Radon space before subjected to Discrete Wavelet Transform (DWT). In DWT framework, the approximate coefficients (cA2) at second level decomposition are extracted and used as informative features to recognize the facial emotion. Since there are a large number of coefficients, hence the principal component analysis (PCA) is applied on the extracted features. The k-nearest neighbor classifier is adopted as classifier to classify seven (anger, disgust, fear, happiness, neutral, sadness and surprise) facial emotions. To evaluate the effectiveness of the proposed method, the JAFFE database has been employed. Based on the results obtained, the proposed method demonstrates the recognition rate of 91.3%, thus it is promising.
      27  12
  • Publication
    Gaining Speedup with OpenMP Schedule Type under Imbalance Workload
    ( 2023-10-06)
    Zahereel Ishwar Abdul Khalib
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Qun N.H.
    ;
    Rahman M.
    ;
    Hossen M.A.
    Despite OpenMP being the defacto standard for parallel programming on shared memory system, little is known on how its schedule type and chunk size effect the parallel performance of shared memory multicore processor. Performance analysis in the literature have overlooked the effects of different schedule type and chunk size, possibly it was simply not the focus of their research. Often, the researchers did not specify the schedule type explicitly. This has resulted in the default way of assigning the loop iterations among threads. By default, the static schedule is used and the size of chunk which is the ratio of total number of iterations to the number of threads is implemented. Contrary to above, this research proposes a guideline to select the appropriate schedule type and chunk size for achieving optimum performance on different shared memory multicore platform for balanced and imbalance workload. Three multicore technology namely Intel Core i5-2410M, AMD A12-9700P and ARM Cortex-A53 are used for this work. The speedup obtained after turning on/off certain multicore technologies and a selected number of active cores per processor is analyzed. The result of analysis enables the user to justify and exercise trade-offs in selecting OpenMP schedule type and chunk size, and also in choosing the multicore technologies to meet the desired performance gain. Results analyzed over various configurations of multicore platform and workload suggested that under certain constraint different schedule types and chunk sizes have led to better speedup.
      1  24
  • Publication
    Cloud-based System for University Laboratories Air Monitoring
    ( 2020-09-21)
    Abu Hassan Abdullah
    ;
    Sukhairi Sudin
    ;
    Mustafa M.H.
    ;
    Fathinul Syahir Ahmad Sa'ad
    ;
    Khairul Azwan Ismail
    ;
    Muhammad Aizat Abu Bakar
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Abdul Ghapar Ahmad
    ;
    Zahari Awang Ahmad
    ;
    Sara Yasina Yusuf
    Indoor air such as house, shopping complex, hospital, university, office and hotel should be monitor for human safety and wellbeing. These closed areas are prone to harmful air pollutants i.e. allergens, smoke, mold, particles radon and hazardous gas. Laboratories in university are special room in which workers (student, technician, teaching/research assistants, researcher and lecturer) conduct their works and experiment. The activities and the environment will generate specific air pollutant which concentration depending to their parameters. Anyone in the environment that exposure to these pollutants may affect safety and health issue. This paper proposes a study of development of a cloud-based electronic nose system for university laboratories air monitoring. The system consists of DSP33-based electronic nose (e-nose) as nodes which measure main indoor air pollutant along with two thermal comfort variables, temperature and relative humidity. The e-noses are placed at five different laboratories for acquiring data in real time. The data will be sent to a web server and the cloud-based system will process, analyse using Neuro-Fuzzy classifier and display on a website in real time. The system will monitor the laboratories air pollutants and thermal comfort by predict the pollutant concentration and dispersion in the area i.e. Air Pollution Index (API). In case of air hazard safety (e.g., gas spills detection and pollution monitoring), the system will alert the security by activate an alarm and through e-mail. The website will display the API of the area in real-time. Results show that the system performance is good and can be used to monitor the air pollutant in the university laboratories.
      39  2
  • Publication
    GPSR Routing Performances Enhancement for VANET networks with Taguchi Optimization Mechanism
    ( 2021-07-26)
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Dafhalla A.K.Y.
    ;
    Naimah Yaakob
    ;
    Hasimah Ali
    Routing mechanism plays an important role in the performances of Vehicular Ad Hoc Networks (VANET). Hence, various routing mechanisms are proposed to enhance VANET performances, however few researches are dedicated to optimize these routing mechanisms. In this paper an optimization mechanism is proposed to improve the performances of Greedy Perimeter stateless Routing (GPSR) protocol. Design of Experiments is used along with Taguchi Optimization method to fine tune GPSR internal routing parameters against VANET network scenarios. The target of optimization in this work is set to network performances including network throughput, delay and packet delivery ration (PDR). These targets are mathematically combined to form a single optimization target. A simulation experiments are performed to evaluate VANET performances. Obtained results showed that the proposed optimization improves the VANET performances in terms of throughput, PDR and delay. Further real-time integration of Optimization and routing mechanism can improve network performances.
      1
  • Publication
    Velocity Based Performance Analysis of GreedLea Routing Protocol in Internet of Vehicle (IoV)
    ( 2024-12-01)
    Normaliza Omar
    ;
    Naimah Yaakob
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    ;
    Zulkifli Husin
    ;
    Iszaidy Ismail
    ;
    Alaa KY Dafhalla
    Intelligent routing protocols for IoV have also been made possible by the convergence of IoT and machine learning algorithm. In order to make informed routing decisions, these intelligent routing protocols examine data gathered from IoT devices like vehicle sensors and traffic monitoring systems using machine learning algorithms. Moreover, as the number of vehicles increases and road networks become more complex, traditional routing protocols for ad hoc networks are being replaced by more advanced and efficient protocols. The purpose of this study is to concentrate on these unique qualities of IoVs network scenario. A combined routing method has been developed to construct periodic connectivity and find routes on-demand in order to save route data as graphs. The simulation's findings show that GreedLea routing protocol outperforms GPSR and AODV routing protocols in terms of delay and packet delivery ratio (PDR). The results demonstrate that the average AODV latency is significantly higher when there are fewer vehicles on the network. This is due to the fact that connections are frequently lost at higher speeds and lower densities, and re-establishing new channels takes a lot of time. As the number of vehicles rises, efficiency improves and the wait gets shorter. The average latency, yet, keeps increasing as vehicle density increases due to the additional overheads related with routing.
      3  23
  • Publication
    The impact of inner-parameters B-MAC protocol by Taguchi method for WSN
    ( 2020-03-15)
    Yousif A.K.
    ;
    Mohd Nazri Mohd Warip
    ;
    Mohamed Elshaikh Elobaid Said Ahmed
    The MAC protocols play an important role in the performance of wireless sensor network (WSN). MAC protocols are controlled with set of parameters from being dragged to undesired situation such as reduce the power consumption, listening idle, and overhead. This inner- parameters have direct impact on the efficiency of a MAC protocols and overall network performances. The impacts of theses parameters on reduce the power consumption are less considered. In the literature, a lot of studies concentrates on introducing a new protocols to reduce the power consumption for WSN. This paper aims to analysis the inner- parameters of MAC protocols for WSN power consumption by using Taguchi Delta Analysis (TDA). Moreover, the measure of inner - parameters is very important to find the optimal values to reduce the power consumption. This paper utilized Taguchi method to analysis the impact of B-MAC protocol parameters in WSN scenarios by exploits Taguchi delta analysis. Further, four inner - parameters are investigated in a simulation platform. Moreover, simulation experiments are carried out by OMNET++5 to prove the work in this paper. The obtained results show that inner- parameters B-MAC inner- protocol reduce the power consumption of WSN for two different scenarios.
      49  1