Yazar "Hamdi, Mustafa Maad" seçeneğine göre listele

Listeleniyor 1 - 6 / 6
  • [ X ]
    Öğe
    A review of applications, characteristics and challenges in vehicular ad hoc networks (VANETs)
    (Institute of Electrical and Electronics Engineers Inc., 2020) Hamdi, Mustafa Maad; Audah, Lukman; Rashid, Sami Abduljabbar; Mohammed, Alaa Hamid; Alani, Sameer; Mustafa, Ahmed Shamil
    The density of traffic is increasing daily in the world. As a result, congestion, accidents, and pollution are also increasing. Vehicular ad hoc network VANET, a subclass of mobile ad hoc networks MANETs, is a promising approach for future intelligent transportation system its. These networks have no fixed infrastructure and instead rely on the vehicles themselves to provide network functionality. In this review paper, we present an overview of the concept of vehicular ad hoc networks, applications, characteristics. also, we will provide discuss some of the issues and challenges in VANET. © 2020 IEEE.
  • [ X ]
    Öğe
    An optimum design of square microstrip patch antenna based on fuzzy logic rules
    (Institute of Electrical and Electronics Engineers Inc., 2020) Mohammed, Alaa Hamid; Hamdi, Mustafa Maad; Rashid, Sami Abduljabbar; Shantaf, Ahmed Muhi
    Fluffy Logic empowers creators to control complex frameworks more adequately than customary methodologies. As it gives a basic method to come to positive end result upon questionable, uncertain or uproarious data. Right now have proposed the structure of fluffy rationale controller having three contributions to give right wash time of clothes washer. The goal is to spare parcel of time, power and water for washing the material. The paper portrays the methodology that can be utilized to get a reasonable washing time for various fabrics. The procedure depends completely on the standard of taking non-exact contributions from the sensors exposing them to fluffy number juggling and acquiring a fresh benefit of washing time. © 2020 IEEE.
  • [ X ]
    Öğe
    Detection of COVID-19 using classification of an x-ray image using a local binary pattern and k-nearest neighbors
    (Institute of Electrical and Electronics Engineers Inc., 2022) Ahmed, Ali Saadoon; Kurnaz, Sefer; Hamdi, Mustafa Maad; Khaleel, Arshad Mohammed; Jabbar, Amenah Nazar; Seno, Mohammed E.
    The recently identified coronavirus pneumonia, which was later given the name COVID-19, is a virus that can be fatal and has affected more than 300,000 individuals around the world. Because there is currently no antiviral therapy or vaccine that has been granted approval by the FDA to cure or prevent this sickness, an automatic method for disease identification is required because of the fast global distribution of this exceedingly contagious and lethal virus. A unique machine learning strategy for automatically detecting this ailment was discovered. Machine learning approaches should be applied in essential jobs in infectious illnesses. As a result, our major aim is to use computer vision algorithms to identify COVID-19 without the need for human interaction. This paper suggested using image processing to classify objects and make early detections using X-ray pictures. Features are extracted for this region using a variety of techniques, including (LBP), (HOG), and use K-Nearest Neighbor algorithm (KNN) for classification, with training percentages of 50%, 60%, 70%, 80%, and 90%. Experiments indicated that using the suggested approach to identify X-ray photos of corona patients, it is feasible to diagnose the disease using X-ray images by training the device on the image data set (about 2,400 photos). The results were tested on the average of the samples taken (random 2000 images) each time and the measurement of multiple training ratios (50%, 60%, 70%, 80%, and 90%). The experimental findings revealed remarkable prediction accuracy in all investigated scenarios, ranging from 85% to 99%.
  • [ X ]
    Öğe
    Performance analyzing the effect of network size on routing protocols in MANETs
    (Institute of Electrical and Electronics Engineers Inc., 2020) Mustafa, Ahmed Shamil; Al-Heeti, Mohamed Muthanna; Hamdi, Mustafa Maad; Shantaf, Ahmed Muhi
    The Mobile Ad-hoc network (MANET) means an independently operating self-configured wireless network without existing infrastructure and centralized control. MANET may be found in wireless systems in different fields of daily uses, for example of automotive, military, and other specific field networks. Many networks need a fixed or wired data transmission and computer connectivity system relative to MANET. WiFi, satellite networking and the smartphone network are examples of fixed infrastructure wireless technology. This paper analyzes the effect of MANET on network size routing protocols. Ad hoc on-demand remote vector routing (AODV) and Greedy Stateless routing perimeter (GPSR) was measured on a efficiency basis in terms of network capacity. The result is a gradual decrease in GPSR output from 17.68 kbps to 12.61 kbps, with an average of 43.96 kbps. The packet transmission fraction for AODV and GPSR protocols is being developed for increasing network capacity. GPSR averages E2E delay less than AODV because the GPSR moves each node closer to the destination with a packet of local knowledge. As a matter of fact, the superiority of the GPSR protocol in all document tested on a network scale in simulation. © 2020 IEEE.
  • [ X ]
    Öğe
    Study for buildings with IoT system for energy management
    (Institute of Electrical and Electronics Engineers Inc., 2022) Ahmed, Ali Saadoon; Kurnaz, Sefer; Hamdi, Mustafa Maad; Khaleel, Arshad Mohammed; Khaleel, Amjed Mohammed; Seno, Mohammed E.
    A smart city makes use of sustainable information and communication technology to upgrade the effectiveness and quality of municipal services for inhabitants and government officials while conserving resources. Buildings with energy-efficient control are an essential part of this. The IoT may be able to help. Its goal is to link many heterogeneous devices over the internet, which necessitates a flexible layered architecture that combines things, people, and web services to simplify an application's work. Also, this Paper will offer a customizable Internet of things, hierarchical architectural model, with an overview of each important component enabling intelligent energy regulation in buildings of smart cities. This paper describes an advanced IoT-based energy management system for buildings. A semantics framework is proposed to unify and standardize the modelling of the things that make up the built environment. Appropriate rules are created with the goal of intelligent energy management and the overall Smart Building mode of operation.
  • [ X ]
    Öğe
    The low band in WiMAX with design H-Slot microstrip patch
    (IEEE, 2021) Shantaf, Ahmet Muhi; Jasim, Salah Ayad; Alhalboosi, Hussein Ali; Mustafa, Ahmed Shamil; Hamdi, Mustafa Maad; Abdulelah, Aymen Jalil
    The patch-designed antenna was introduced with an internal H-shaped slot optimize and develop to operate within WiMAX frequency low band (2.5/2.69 GHz). By using ANSOFT HFSS ver. 17,2. The designed antenna offers a RL of -16.38 dB, gain of 8.36 dB, and VSWR 2.65dB at operating frequency 2.5 GHz.