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A Framework for Driver DrowsinessMonitoring Using a Convolutional Neural Network and the Internet of Things

Intelligent Automation & Soft Computing 2024年第2期39卷 157-174页

作者： Muhamad Irsan Rosilah hassan anwar hassan ibrahim Mohamad Khatim Hasan Meng Chun Lam Wan Mohd Hirwani Wan Hussain School of Computing Telkom UniversityBandung40257Indonesia Faculty of Information Science and Technology Universiti Kebangsaan MalaysiaBangi43600Malaysia Department of Electrical Engineering College of EngineeringQassim UniversityAl-Gassim51411Saudi Arabia Graduated School of Business Universiti Kebangsaan MalaysiaBangi43600Malaysia

One of the major causes of road accidents is sleepy *** accidents typically result in fatalities and financial losses and disadvantage other road *** studies have been conducted to identify the driver’s sleepiness and integrate it into a warning *** studies have examined how the mouth and eyelids ***,this limits the system’s ability to identify drowsiness ***,this study designed an Accident Detection Framework(RPK)that could be used to reduce road accidents due to sleepiness and detect the location of *** drowsiness detectionmodel used three facial parameters:Yawning,closed eyes(blinking),and an upright head *** model used a Convolutional Neural Network(CNN)consisting of two *** initial phase involves video processing and facial landmark coordinate *** second phase involves developing the extraction of frame-based features using normalization *** these phases used OpenCV and *** dataset contained 5017 images with 874 open eyes images,850 closed eyes images,723 open-mouth images,725 closed-mouth images,761 sleepy-head images,and 1084 non-sleepy head *** dataset of 5017 images was divided into the training set with 4505 images and the testing set with 512 images,with a ratio of 90:*** results showed that the RPK design could detect sleepiness by using deep learning techniques with high accuracy on all three parameters;namely 98%for eye blinking,96%for mouth yawning,and 97%for head ***,the test results have provided an overview of how the developed RPK prototype can accurately identify drowsy *** findings will have a significant impact on the improvement of road users’safety and mobility.

关键词： Drowsy drivers convolutional neural network openCV microprocessor face detection

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Significant of BER Detection Using Hybrid Genetic Algorithm for CDMA System

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Journal of Computer and Communications 2018年第5期6卷 31-39页

作者： anwar hassan ibrahim Electrical Engineering Department Qassim University Qassim Saudi Arabia

In this paper, CDMA system is considered to enhance the detection techniques, which uses genetic algorithm practice to introduce an optimum multi-user indicator based on bit synchronization for code division multiple access via high level of noise (Gaussian channel). The proposed method presented in this paper is to define the transmitted bit sequence and optimization in the receiver using hybrid GA scheme, which considered a complicated method to match the users’ bits correlation metric. A Matlab simulation results shows that, the BER performance under certain condition of SNR for multi-user detector methods indicate the single-user convolution bound, despite the fact that a lower complication as associated to the best multi-user detection. Particularly the hybrid GA structure is more suitable for a high number of users and suitable for CDMA system enhancement in order to perform lower computational complexity in shorter time period.

关键词： CDMA GA BER SNR

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Perception beyond sight:Investigating the cognitive maps of congenitally blind individuals in urban environments

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Frontiers of Architectural Research 2024年第4期13卷 809-821页

作者： anwar ibrahim Hikmat HAli Zainab Mahmoud College of Architecture and Design Jordan University of Science and TechnologyIrbidJordan College of Engineering and Architecture Al Yamamah UniversityRiyadhKSA

This study explores the challenges faced by congenitally blind individuals in navigating urban ***,this research investigates the factors that contribute to the construction of city mental mapping for individuals who are born ***-one congenitally blind individuals from the University of Jordan were asked to define and describe specific elements of the city based on their personal experiences and ***,participants were guided through two urban paths:familiar and *** participants were asked to complete a survey regarding their experiences during the *** collected data was analyzed by using thematic *** results revealed that congenitally blind individuals construct their mental image of the city by using their three senses of touching,hearing,and smelling,as well as their safety and *** mental image consists of five key elements:links,reference points,areas,separators,and *** the small size of the study sample and the specificity of the context,the results of this study will tremendously help planners in designing highly inclusive urban *** characteristics that can be recognized by the blinds will enhance their accessibility of urban spaces,encourage independent mobility,increase the quality of life and social inclusion for them.

关键词： Mental map City image Congenital blind Cognitive mapping Environmental perception

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Distribution characteristics and removal rate of antibiotics and antibiotic resistance genes in different treatment processes of two drinking water plants

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Frontiers of Environmental Science & Engineering 2024年第9期18卷 143-152页

作者： Jun Wang Mingtao Huang Bolin Li hassan ibrahim Mohamed Huanjie Song Gezi Li Ying Yu Han Zhang Weimin Xie School of Resource and Environmental Engineering Wuhan University of TechnologyWuhan 430070China Wuhan Lingang Economic and Technological Development Zone Service Industry Development Investment Group Co.Ltd. Wuhan 430040China Civil Engineering Department Faculty of EngineeringAssiut UniversityAssiut 71516Egypt Changjiang Basin Ecology Environment and Monitoring and Scientific Research Center Changjiang Basin Ecology and Environment AdministrationMinistry of Ecological EnvironmentWuhan 430010China

Emerging pollutants,such as antibiotics and antibiotic-resistance genes,are becoming increasingly important sources of safety and health *** water safety,which is closely related to human health,should receive more attention than natural water body ***,minimal research has been performed on the efficacy of existing treatment processes in water treatment plants for the removal of antibiotics and antibiotic resistance *** address this research gap,this study detected and analyzed six main antibiotics and nine antibiotic resistance genes in the treatment processes of two drinking water plants in *** were collected over three months and then detected and analyzed using ultra-high-performance liquid chromatography-tandem mass spectrometry and fluorescence *** total concentrations of antibiotics and antibiotic resistance genes in the influent water of the two water plants were characterized as December>March>*** precipitation and filtration processes of the Zou Maling Water Plant and Yu Shidun Water Plant successfully removed the *** ozone-activated carbon process increased the removal rate of most antibiotics to 100%.However,a large amount of antibiotic resistance gene residues remained in the effluents of the two water *** experiments demonstrated that the existing ozone-activated carbon processes could not effectively remove antibiotic resistance *** study provides a reference for the optimization of drinking water treatment processes for antibiotics and antibiotic resistance gene removal.

关键词： Antibiotics Antibiotics resistance genes Water treatment process unit Spatiotemporal distribution Removal efficacy

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Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas Muhammad Usman Ghani Khan Jia Zhu Raheem Sarwar Naif R.Aljohani ibrahim A.Hameed Muhammad Umair hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

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Facile synthesis of graphene anchored rare earth doped mixed metal ferrite nanorods:A potential candidate for azo dye mineralization

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Journal of Rare Earths 2024年第5期42卷 907-916,I0004页

作者： Tehmina Kousar Muhammad Aadil Sonia Zulfiqar Sobhy Mibrahim Sidra Mubeen Warda hassan Kashuf Shafiq Farzana Mahmood Institute of Chemical Sciences Bahauddin Zakariya UniversityMultan60800Pakistan Department of Chemistry Rahim Yar Khan CampusThe Islarnia University of BahawalpurRahim Yar Khan64200Pakistan Department of Chemistry Faculty of ScienceUniversity of Ostrava30.Dubna 22Ostrava70103Czech Republic Department of Chemical and Biological Engineering Iowa State UniversitySweeney Hall618 Bissell RoadAmeslowa50011United States Department of Biochemistry College of ScienceKing Saud UniversityPO.Box 2455Riyadh11451Saudi Arabi Department of Chemistry The Women University Multan66000Pakistan

Bandgap tuning using rare earth metals as dopants in ferrite-based photocatalytic materials has received a lot of interest because the Fermi 4f energy of these metals generates a sub-energy state in the bandgap generated by the overlapping of Fe-3d and O-2p ***,dysprosium-doped cobalt-nickel mixed ferrite(D-CNFO)and its graphene-reinforced composite(D-CNFO@G)were prepared and an ideal photocatalyst material for azo dye mineralization was proposed.A cost-effective combination of wetchemical and ultrasonication methods was used to prepare the doped and composite *** characterization methodologies were used to scrutinize the optical,compositional,structural,morphological,and photocatalytic characteristics of as-prepared *** X-ray diffraction analysis identified the spinel phase's(cubic)structure,while the electronic spectroscopy examination confirmed the prepared samples'rod-like *** UV/visible absorbance spectrum shows the higher light harvesting behavior of the D-CNFO@G in the visible *** mineralization performance of the DCNFO and D-CNFO@G composites was analyzed using Congo-red(an anionic dye),a well-known azo *** D-CNFO@G sample removes Congo-red dye at a rate almost 2.4%faster than the D-CNFO *** experiment involving trapping free radicals indicates that hydroxyl radical play s a crucial role in dye *** the D-CNFO@G catalyst is magnetic and can be isolated easily from the photocatalytic system,it shows an awkward cycle activity of more than 96%after five mineralization *** asprepared D-CNFO@G composite is proved as an excellent option for azo dye mineralization because of the combined impacts of rare earth doping,graphene reinforcement and nanotechnology.

关键词： azo-dye Composite Graphene Dy-doped Nanotechnology Rare earths

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Factors Promoting Retention of Nurses in Three Private Hospitals of Lahore: A Cross Sectional Descriptive Survey

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Open Journal of Nursing 2024年第7期14卷 344-367页

作者： Zainab Suleman Najma Balquees anwar Sadaf Younis Alya Bilquees anwar Naeema Khan Syed Saemul hassan College of Nursing University of Health Sciences Lahore Lahore Pakistan

Introduction: Pakistan has a large number of professional nurses but a higher rate of turnover contributes towards the shortage of nurses which is intensified by nurses’ immigration, lack of recruitment of new nurses and retirement of senior nurses. Aim: The study aimed at examining the factors that increase retention of nurses. Research Method: The study is descriptive cross sectional with a sample of 150 nurses including both the genders, from 3 private hospitals located in Pakistan. A convenient sampling technique was used. The data collection was done through close ended questionnaires based on 20 questions. Data collection was done quantitatively and then data was entered in SPSS. Correlation and regression tests were performed. Findings: The analysis revealed that 91.3% nurses are loyal to their hospitals but, 8.7%nurses can switch the hospital for different reasons. It was also found that the idea of leaving the job based on the intention of moving to abroad and public sector was higher than the retirement and other causes. Resultantly, enhancements in nurses’ work environments have the ability to decrease nurses’ job burnout and turnover and increase patients’ satisfaction. Recommendations: Hospital leaders should implement effective strategies to encourage nurses to continue their job by motivation, strengthening management skills within the hospital and improving a positive work environment by promoting teamwork, continuous learning, trust, respect and flexible arrangements which can lead towards achieving better ***, further studies quantitatively and qualitatively can explore more factors related to dissatisfaction of nurses. Health systems policy makers should lead by developing related strategies for the retention of nurses.

关键词： Retention of Nurses Shortage of Nurses Turnover Workforce

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In silico identification of antiviral compounds for the treatment of chikungunya virus infection:qsar modelling and md simulation analysis

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Medicine in Novel Technology and Devices 2024年第2期22卷 102-114页

作者： Hayder M Abdulhamza Muthanna S.Farhan Sara.S hassan Hany Aqeel Al-Hussainy Amjad ibrahim Oriabi Department of Pharmacy Kut University CollegeAlkutWasit52001Iraq Department of Pharmaceutical Chemistry College of PharmacyUniversity of BaghdadBaghdadIraq Al-Manara College for Medical Sciences Department of PharmacyIraq Department of Pharmacy Hilla University CollegeBabylonIraq Dr Hany Akeel Institute Iraqi Medical Research CenterBaghdad10001Iraq

Chikungunya virus(CHIKV),transmitted by arthropods,has gained global recognition for its impact on public *** has expanded globally,including Africa,Asia,and the Indian subcontinent,and has a helicase protein in its genome that is crucial for its ***,the study targeted the helicase protein of CHIKV with 745 antiviral compounds using an ML-based QSAR model and molecular *** binders(5279172,78161839,6474310,and 5330286)were selected for MD simulation based on the control(Silvestrol).All compounds had the highest binding scores,with 78161839 showing the most consistent RMSD and the least conformational variation,indicating high *** also showed the lowest binding free energy(ΔG¼31.31 kcal/mol),indicating energetically favourable *** and FEL also depicted the stable complex confirmation of the protein and 78161839 complex during the 100 ns ***,this study aimed to identify helicase function antiviral binders that could be experimentally tested for treating CHIKV.

关键词： Chikungunya virus Machine learning based QSAR Molecular dynamic solution Helicase

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A Rare Etiology of a Life-Threatening Subdural Hematoma: Case Report and Literature Review

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Open Journal of Modern Neurosurgery 2024年第2期14卷 108-113页

作者： ibrahim Dao hassan Baallal Narcisse Mike Wendpuiré Ouédraogo Ousmane Ouattara Department of Neurosurgery University Hospital Souro Sanou Nazi Boni University Bobo Dioulasso Burkina Faso Higher Institute of Health Sciences Nazi Boni University Bobo Dioulasso Burkina Faso Department of Neurosurgery Avicenne Military Teaching Hospital University Caddi Ayyad Marrakech Morocco

Background: Life-threatening subdural hematoma is commonly related to trauma and rarely revealed by neoplasm. Observation: We report a case of a 53-year-old suffering from mild headache and without a history of trauma, was admitted unconscious due to a subdural hematoma on radiological investigations. Beside the left subdural hematoma, there was also alytic lesion of the sphenoid wing and the temporal bone on the same side. An emergent removal of the subdural hematoma and an excision of the bone lesion were performed. Pathological examination diagnosed a cavernous hemangioma of the skull. The postoperative period was uneventful with a dramatic recovery of the patient. Conclusion: A quick worsening of a chronic headache, acute impairment of an uncommon headache deserve prompt investigation and emergent surgical management in case of intracranial hematoma. Any bone and dural abnormalities at the vicinity of a subdural hematoma require total excision with clean border and pathological examination.

关键词： Cavernous Hemangioma Subdural Hematoma Emergency Skull Surgery

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Pattern of Eye Diseases among Tea Workers

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Open Journal of Ophthalmology 2024年第2期14卷 117-127页

作者： Rifat Binth Rezayee Md. Showkat Kabir Mohammed Moinul Hoque Nirupam Chowdhury Mohammad Shish Rahman Nawreen Binte anwar Shah-Noor hassan Department of Community Ophthalmology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh Department of Ophthalmology Bangabandhu Sheikh Mujib Medical University Dhaka Bangladesh

Background: Bangladesh’s tea industry is essential to the country’s economic expansion. Since tea workers in Bangladesh are marginalized within our community, they have limited access to comprehensive eye care services. Productivity and well-being are cornerstones of comprehensive health care strategy. Ocular disorders are influenced by life expectancy, sociodemographic status, and the epidemiological transition. In this context, the state of ocular health and the many eye illnesses remain to be significantly addressed. Purpose: To evaluate the pattern of eye diseases among tea workers in a tea estate of Bangladesh. Methods: This cross-sectional observational study was carried out in Halda Valley Tea Estate, Nazirhat, Fatickchari, Chattogram, Bangladesh, under the supervision of the Department of Community Ophthalmology, BSMMU, following ethical clearance and approval by the IRB board of BSMMU. With informed written consent and approval from the authority of the tea estate, a total of 110 tea workers were recruited. Socio-demographic characteristics, ocular findings, and patterns of eye diseases were determined and recorded. Results: The mean age of the study participants was 39.60 ± 11.63 years. The maximum (58.1%) study participants were 31 - 50 years old, female (64.5%), illiterate (82.7%), and tribal (71.8%) indigenes. Eye diseases were found in 94.5% of workers. Presbyopia (28.2%), cataracts (27.3%), and refractive error (26.4%) were the most common. Tea workers with eye diseases were significantly older than those who did not have any eye diseases (40.20 ± 11.57 vs. 29.17 ± 7.31 years, p Conclusion: A significant number of tea workers had eye diseases, of which presbyopia, cataracts, and refractive error were the most common.

关键词： Tea Workers Eye Diseases Presbyopia Cataract Refractive Errors

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