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YOLOv2 Deep Learning Model and GIS Based Algorithms for Vehicle Tracking

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Journal of Geographic Information System 2021年第4期13卷 395-409页

作者： Mohamed El Imame Malaainine hatim Lechgar Hassane Rhinane Hassania School of Public Works Casablanca Morocco FSAC-Hassan II University Casablanca Morocco

The latest advances in Deep Learning based methods and computational capabilities provide new opportunities for vehicle tracking. In this study, YOLOv2 (You Only Look Once—version 2) is used as an open source Convolutional Neural Network (CNN), to process high-resolution satellite images, in order to generate the spatio-temporal GIS (Geographic Information System) tracks of moving vehicles. At first step, YOLOv2 is trained with a set of images of 1024 × 1024 resolution from the VEDAI database. The model showed satisfactory results, with an accuracy of 91%, and then at second step, is used to process aerial images extracted from aerial video. The output vehicle bounding boxes have been processed and fed into the GIS based LinkTheDots algorithm, allowing vehicles identification and spatio-temporal tracks generation in GIS format.

关键词： Deep Learning YOLOv2 Vehicle Tracking GIS

The Role of AI in Cyber Security: Safeguarding Digital Identity

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Journal of Information Security 2024年第2期15卷 245-278页

作者： Mohammad Binhammad Shaikha Alqaydi Azzam Othman Laila hatim Abuljadayel Department of Computer Science British University Dubai Dubai The United Arab Emirates Department of Cybersecurity Dar Al Hekma University Jeddah Saudi Arabia

This article signals the use of Artificial Intelligence (AI) in information security where its merits, downsides as well as unanticipated negative outcomes are noted. It considers AI based models that can strengthen or undermine infrastructural functions and organize the networks. In addition, the essay delves into AI’s role in Cyber security software development and the need for AI-resilient strategies that could anticipate and thwart AI-created vulnerabilities. The document also touched on the socioeconomic ramifications of the emergence of AI in Cyber security as well. Looking into AI and security literature, the report outlines benefits including made threat detection precision, extended security ops efficiency, and preventive security tasks. At the same time, it emphasizes the positive side of AI, but it also shows potential limitations such as data bias, lack of interpretability, ethical concerns, and security flaws. The work similarly focuses on the characterized of misuse and sophisticated cyberattacks. The research suggests ways to diminish AI-generating maleficence which comprise ethical AI development, robust safety measures and constant audits and updates. With regard to the AI application in Cyber security, there are both pros and cons in terms of socio-economic issues, for example, job displacement, economic growth and the change in the required workforce skills.

关键词： Artificial Intelligence Cyber Attack Cyber Security Real-Time Mitigation Social Media Security AI-Driven Threat Intelligence

Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People

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Computers, Materials & Continua 2023年第5期75卷 3239-3255页

作者： Majdy M.Eltahir Adil Yousif Fadwa Alrowais Mohamed K.Nour Radwa Marzouk hatim Dafaalla Asma Abbas Hassan Elnour Amira Sayed A.Aziz Manar Ahmed Hamza Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Arts and Science Najran UniversitySharourahSaudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Applied SciencesKing Khalid UniversityMuhayil63772Saudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The human motion data collected using wearables like smartwatches can be used for activity recognition and emergency event *** is especially applicable in the case of elderly or disabled people who live self-reliantly in their *** sensors produce a huge volume of physical activity data that necessitates real-time recognition,especially during *** is one of the most important problems confronted by older people and people with movement *** previous techniques were introduced and a few used webcam to monitor the activity of elderly or disabled ***,the costs incurred upon installation and operation are high,whereas the technology is relevant only for indoor ***,commercial wearables use a wireless emergency transmitter that produces a number of false alarms and restricts a user’s *** this background,the current study develops an Improved WhaleOptimizationwithDeep Learning-Enabled Fall Detection for Disabled People(IWODL-FDDP)*** presented IWODL-FDDP model aims to identify the fall events to assist disabled *** presented IWODLFDDP model applies an image filtering approach to pre-process the ***,the EfficientNet-B0 model is utilized to generate valuable feature vector ***,the Bidirectional Long Short Term Memory(BiLSTM)model is used for the recognition and classification of fall ***,the IWO method is leveraged to fine-tune the hyperparameters related to the BiLSTM method,which shows the novelty of the *** experimental analysis outcomes established the superior performance of the proposed IWODL-FDDP method with a maximum accuracy of 97.02%.

关键词： Fall detection disabled people deep learning improved whale optimization assisted living

Physicochemical Stability of ZnS Quantum Dots Stabilized by Gum Arabic

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Physicochemical Stability of ZnS Quantum Dots Stabilized by ...

Radio spectrum awareness using deep learning: Identification of fading channels, signal distortions, medium access control protocols, and cellular systems

中国科学院地质与地球物理研究所第十届(2010年度)学术年会

作者： hatim Mohamed El-Khair Dirar Department of Physics School of Physics and Applied PhysicsFaculty of Science and TechnologyAl-Nelain University Department of Physics Faculty of Pure and Applied ScienceInternational University of Africa

ZnS quantum dots synthesized as soft matter utilizing Gum Arabic as stabilizer had exhibited quantum size effect,which is evidently observed from the significant blue shift in absorption and emission *** physicochemic... 详细信息

关键词： ZnS Quantum Dots

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Intelligent and Converged Networks 2021年第1期2卷 16-29页

作者： Yu Zhou hatim Alhazmi Mohsen H.Alhazmi Alhussain Almarhabi Mofadal Alymani Mingju He Shengliang Peng Abdullah Samarkandi Zikang Sheng Huaxia Wang Yu-Dong Yao Department of Electrical and Computer Engineering Stevens Institute of TechnologyHobokenNJ 07030USA the College of Information Science and Engineering Huaqiao UniversityXiamen 361021China the College of Engineering Architecture and TechnologyOklahoma State UniversityStillwaterOK 74078-1010USA

Radio spectrum awareness,including understanding radio signal activities,is crucial for improving spectrum utilization,detecting security vulnerabilities,and supporting adaptive *** tasks include spectrum sensing,identifying systems and terminals,and understanding various protocol *** this paper,we investigate various identification and classification tasks related to fading channel parameters,signal distortions,Medium Access Control(MAC)protocols,radio signal types,and cellular ***,we utilize deep learning methods in those identification and classification *** evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.

关键词： cellular system deep learning signal classification spectrum awareness Convolutional Neural Network(CNN)

Results of the Sauvé-Kapandji Procedure for Posttraumatic Disorders of the Distal Radioulnar Joint in Young Patients

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Open Journal of Orthopedics 2015年第3期5卷 35-40页

作者： hatim Abid Mohammed Shimi Abdelhalim El Ibrahimi Abdelmajid El Mrini Department of Osteoarticular Surgery B4 HASSAN II Teaching Hospital Fes Morocco

The authors report their experience with the Sauvé-Kapandji procedure for the management of posttraumatic disorders of the distal radioulnar joint in 9 younger and active patients. The mean age of our series was 37 years. We operated patients for whom pain in the distal radioulnar joint was more relieved by usual analgesic medical treatment, and those with a limitation of wrist movements. Until the latest follow-up, patients have benefited from antero-posterior and profile radiographs of the wrist. Functional assessment was based on the Modified Mayo Wrist Score whose average value was around 77 points. Postoperatively all patients experienced relief of pain. Rotation of the forearm increased to near normal values. On a professional level, eight of nine employed patients had returned to work. There were no major complications.

关键词： Posttraumatic Disorders Distal Radioulnar Joint Sauvé-Kapandji Procedure

OMT-G Modeling and Cloud Implementation of a Reference Database of Addressing in Morocco

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Journal of Geographic Information System 2013年第3期5卷 235-241页

作者： Mohamed El Imame Malaainine Hassane Rhinane Lahcen Baidder hatim Lechgar Faculté des Sciences Ain Chock Université Hassan II-Casablanca Casablanca Maroc

A reference database of addressing is an important resource for urban applications. The efficiency of an addressing system depends on both data quality and technical architecture. Data must respect a standard model that is flexible to meet different cases in the field. The technical architecture should be service oriented to offer a shared resource for multiple users and applications. This paper is to develop an addressing model for Morocco that extends Davis’s and Fonseca’s model presented in their work on the certainty of locations produced by an address geocoding system. We discuss the addressing data dictionary and acquisition plan in Morocco, revealing a diversified data management environment, characterized by multiple sources and actors. As a novelty in the field of GIS, we establish our technical architecture around cloud computing, according Service Oriented Application (SOA) standards. Our approach is based on the three pillars of cloud computing which are Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a service (IaaS).

关键词： Reference Database of Addressing Morocco GIS OMT-G Modeling Cloud Computing

Frequency Dependence of Atomic Diffusivity and Electrical Properties of Gum Arabic/Graphite Composite

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Journal of Materials Science and Chemical Engineering 2015年第9期3卷 30-36页

作者： Bilquis Ibrahim Adham hatim Mohamed El-Khair Mohamed Ahmed Siddig Department of Physics Faculty of Science and Technology Alneelain University Khartoum Sudan Department of Physics Imam Mohamed Bin Saud Riyadh KSA Department of Medical Physics National University Khartoum Sudan

In this study, Gum Arabic (GA)/Graphite (Gr) composite material was prepared using solid state reaction method. The FTIR peaks obtained were referred to the binding of Gr with the active groups in GA, such as NH2, COOH, CHO, CNC (alkyl amine) and C=CH (aromatic monosubstitution). Atomic diffusivity of Gr in GA was calculated using simple model and was found to varied randomly. This randomness might be due to the attachment of Gr with different active groups of GA. The addition of Gr results in improvement of the conductivity of GA to a far extend as it reaches the semiconductor range. The random variation in conductivities of the samples can be attributed to the effect of high frequency range, where the effect of phonon-electron is dominant. The samples subjected to the impedance spectroscopy (IS) for second and third time were acquired different diffusivities as well as conductivities. Such variations might indicate that IS was a processing technique similar to thermal treatment since it boosted the Gr atomic diffusion.

关键词： Composite Electrical Properties FTIR Spectroscopy

The Total Hip Arthroplasty in Ankylosing Spondylitis

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Open Journal of Orthopedics 2014年第5期4卷 117-122页

作者： hatim Abid Mohammed Shimi Abdelhalim El Ibrahimi Abdelmajid El Mrini Department of Osteoarticular Surgery B4 HASSAN II Teaching Hospital Fes Morocco

Objectives: The assessment of the radio clinical results of sixty one total hip arthroplasties was performed among young and active patients, with follow-up for ankylosing spondylitis, in order to evaluate the effect of surgery on the quality of life of these patients. Methods: For the functional improvement of the patients, we relied on the scores of Devane, Harris and that of Postel Merle d’Aubeigné. The radiological analysis was based on the coxometry. Results: The study confirms the notable functional gain and consequently the improvement of the quality of life of the patients. However, the longevity of the implants remains difficult to envisage due to our limited and insufficient hindsight. Conclusion: The total hip arthroplasty transforms the life of the young patients’ carriers of the disabling coxitis on the stiffening spondylarthritis, by getting them the laziness and the mobility wished for.

关键词： Inflammatory Coxitis Ankylosing Spondylitis Total Hip Prosthesis