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Efficient Deep Learning Framework for Fire Detection in Complex Surveillance Environment

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Computer Systems Science & Engineering 2023年第7期46卷 749-764页

作者： naqqash dilshad Taimoor Khan JaeSeung Song Department of Convergence Engineering for Intelligent Drone Seoul05006Korea Department of Computer Science Islamia College PeshawarPeshawar25120Pakistan

To prevent economic,social,and ecological damage,fire detection and management at an early stage are significant yet *** computationally complex networks have been developed,attention has been largely focused on improving accuracy,rather than focusing on real-time fire ***,in this study,the authors present an efficient fire detection framework termed E-FireNet for real-time detection in a complex surveillance *** proposed model architecture is inspired by the VGG16 network,with significant modifications including the entire removal of Block-5 and tweaking of the convolutional layers of *** results in higher performance with a reduced number of parameters and inference ***,smaller convolutional kernels are utilized,which are particularly designed to obtain the optimal details from input images,with numerous channels to assist in feature *** E-FireNet,three steps are involved:preprocessing of collected data,detection of fires using the proposed technique,and,if there is a fire,alarms are generated and transmitted to law enforcement,healthcare,and management ***,E-FireNet achieves 0.98 accuracy,1 precision,0.99 recall,and 0.99 F1-score.A comprehensive investigation of various Convolutional Neural Network(CNN)models is conducted using the newly created Fire Surveillance SV-Fire *** empirical results and comparison of numerous parameters establish that the proposed model shows convincing performance in terms of accuracy,model size,and execution time.

关键词： Deep learning drone embedded vision emergency monitoring fire classification fire detection IoT search and rescue

Robust Counting in Overcrowded Scenes Using Batch-Free Normalized Deep ConvNet

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Computer Systems Science & Engineering 2023年第9期46卷 2741-2754页

作者： Sana Zahir Rafi Ullah Khan Mohib Ullah Muhammad Ishaq naqqash dilshad Amin Ullah Mi Young Lee Institute of Computer Sciences and Information Technology(ICS/IT) The University of AgriculturePeshawar25130Khyber PakhtunkhwaPakistan Department of Convergence Engineering for Intelligent Drone Sejong UniversitySeoul05006Korea Collaborative Robotics and Intelligent Systems(CoRIS)Institute Oregon State UniversityORUSA Department of Software Sejong UniversitySeoul05006Korea

The analysis of overcrowded areas is essential for flow monitoring,assembly control,and *** counting’s primary goal is to calculate the population in a given region,which requires real-time analysis of congested scenes for prompt reactionary *** crowd is always unexpected,and the benchmarked available datasets have a lot of variation,which limits the trained models’performance on unseen test *** this paper,we proposed an end-to-end deep neural network that takes an input image and generates a density map of a crowd *** proposed model consists of encoder and decoder networks comprising batch-free normalization layers known as evolving normalization(EvoNorm).This allows our network to be generalized for unseen data because EvoNorm is not using statistics from the training *** decoder network uses dilated 2D convolutional layers to provide large receptive fields and fewer parameters,which enables real-time processing and solves the density drift problem due to its large receptive *** benchmark datasets are used in this study to assess the proposed model,resulting in the conclusion that it outperforms conventional models.

关键词： Artificial intelligence deep learning crowd counting scene understanding

Towards Sustainable Agricultural Systems:A Lightweight Deep Learning Model for Plant Disease Detection

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Computer Systems Science & Engineering 2023年第10期47卷 515-536页

作者： Sana Parez naqqash dilshad Turki M.Alanazi Jong Weon Lee Department of Software Sejong UniversitySeoul05006Korea Department of Convergence Engineering for Intelligent Drone Sejong UniversitySeoul05006Korea Department of Electrical Engineering College of EngineeringJouf UniversitySakakaSaudi Arabia

A country’s economy heavily depends on agricultural ***,due to several plant diseases,crop growth rate and quality are highly *** identification of these diseases via a manual procedure is very challenging and time-consuming because of the deficiency of domain experts and low-contrast ***,the agricultural management system is searching for an automatic early disease detection *** this end,an efficient and lightweight Deep Learning(DL)-based framework(E-GreenNet)is proposed to overcome these problems and precisely classify the various *** the end-to-end architecture,a MobileNetV3Smallmodel is utilized as a backbone that generates refined,discriminative,and prominent ***,the proposed model is trained over the PlantVillage(PV),Data Repository of Leaf Images(DRLI),and a new Plant Composite(PC)dataset individually,and later on test samples,its actual performance is *** extensive experimental analysis,the proposed model obtained 1.00%,0.96%and 0.99%accuracies on all three included ***,the proposed method achieves better inference speed when compared with other State-Of-The-Art(SOTA)*** addition,a comparative analysis is conducted where the proposed strategy shows tremendous discriminative scores as compared to the various pretrained models and other Machine Learning(ML)and DL methods.

关键词： Computer vision deep learning embedded vision agriculture monitoring classification plant disease detection Internet of Things(IoT)

Targeting Cancers: Uncovering the Potential Roles of Potato Tissue Culture as Anti-Cancer Agents - A Secondary Publication

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Proceedings of Anticancer Research 2024年第3期8卷 36-50页

作者： Tehseen Sajid Jallat Khan Zulqarnain Abbas Hafiz Muhammad Sultan Mahnoor Mazhar Muhammad Zubair Muhammad dilshad Kashif Kareem Institute of Biological Science Ground FloorBasic Sciences and Humanities BuildingKhwaja Fareed University of Engineering&Information TechnologyKFUEITRYKPakistan Institute of Plant Protection(Plant Pathology) MNS-University of Agriculture MultanPakistan Crop Diseases Research Institute(CDRI) National Agricultural Research Centre NARCIslamabadPakistan School of Chemistry University of Punjab LahorePakistan

Plant tissue culture is a technique that enhances the quality and quantity of potatoes. Potatoes are a significant crop and are primarily used in the world. It is a staple food in many countries, where millions of tonnes are produced annually. It is an essential source of many nutrients, such as proteins, carbohydrates, vitamins, and beta-carotene. In addition, potatoes are being used as therapeutic agents against cancer and other human diseases as well. Potatoes are on the third list after wheat and rice. To overcome food shortages and malnutrition, there are two methods used for producing potatoes: the first is sexual, which is seed propagation, and the second is asexual, which is plant tissue culture propagation. Conventional potato breeding is a uniform method, but it is unsafe because there is a risk of pathogen attack. In a laboratory setting, the tissue culture of potatoes produced millions of plants with nutrient-rich medium under controlled environmental conditions that prevent pest attacks. Some environmental stresses, such as salinity and water scarcity, affect potato yield and production;however, applying nanoparticles like organic, inorganic, and silicon dioxide enhances potato quality and combats stress. Biotechnology has proven to be helpful in addressing all these issues. This review discusses the significance of potatoes, their production through the tissue culture technique, and the application of nanoparticles to improve the growth, and impact of potatoes on human health.

关键词： Cancer Nanoparticle Potato Tissue culture

Cobalt and sulfur co-doped nano-size TiO_2 for photodegradation of various dyes and phenol

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Journal of Environmental Sciences 2015年第11期27卷 100-109页

作者： Asima Siddiqa dilshad Masih Dalaver Anjum Muhammad Siddiq KAUST Catalysis Center King Abdullah University of Science and Technology (KAUST) National Centre for Physics Quaid-i-Azam University Complex Chemistry Department Quaid-i-Azam University Imaging and Characterization Lab KAUST

Various compositions of cobalt and sulfur co-doped titania nano-photocatalyst are synthesized via sol–gel method. A number of techniques including X-ray diffraction（XRD）, ultraviolet–visible（UV–Vis）, Rutherford backscattering spectrometry（RBS）, thermal gravimetric analysis（TGA）Raman, N2 sorption, electron microscopy are used to examine composition, crystalline phase, morphology, distribution of dopants, surface area and optical properties o synthesized materials. The synthesized materials consisted of quasispherical nanoparticles of anatase phase exhibiting a high surface area and homogeneous distribution o dopants. Cobalt and sulfur co-doped titania demonstrated remarkable structural and optical properties leading to an efficient photocatalytic activity for degradation of dyes and phenol under visible light irradiations. Moreover, the effect of dye concentration catalyst dose and p H on photodegradation behavior of environmental pollutants and recyclability of the catalyst is also examined to optimize the activity of nano-photocatalys and gain a better understanding of the process.

关键词： Photocatalysis Nanoparticles Co-doped Ti O2 Dye degradation Phenol

多孔吸附材料、EDTA辅助MgO的制备及其对MO和MB染料的去除行为

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多孔吸附材料、EDTA辅助MgO的制备及其对MO和MB染料的去除行为

作者： dilshad ALI 北京化工大学

学位级别：硕士

饮用水的管理和分配对于大城市的可持续发展至关重要,为了获得对染料优异的吸附能力,优化了在三个pH值下分级海绵状乙二胺四乙酸(EDTA)封装氧化镁(MgO)的吸附条件,并探索了阴离子和阳离子染料模型的吸附性能,即甲基橙(MO)和亚甲蓝(MB)... 详细信息

饮用水的管理和分配对于大城市的可持续发展至关重要,为了获得对染料优异的吸附能力,优化了在三个pH值下分级海绵状乙二胺四乙酸(EDTA)封装氧化镁(MgO)的吸附条件,并探索了阴离子和阳离子染料模型的吸附性能,即甲基橙(MO)和亚甲蓝(MB)。随着Mg/EDTA补料比例的升高,平均孔径和分数孔隙率下降;FT-IR、SEM、XRD和BET用于表征样品;对于所有MgO样品,吸附过程遵循伪二级动力学模型和MO和MB的Langmuir等温线。在测试样品中,MgO-EDTA(1:1)在浓度为500 ppm和200 ppm时,对MO的吸附量最大,为4131.1mg/g,对MB的吸附量为39.23 mg/g。该研究制备了一种成本低、操作简单的双功能材料,可用于多种行业的有色水修复。毋庸置疑,所描述的方法有效地促进了多孔MgO微球吸附材料的广泛实际应用和规模化生产。

关键词：多孔材料氧化镁吸附甲基橙亚甲基蓝

Modernity in tradition： Reflections on building design and technology in the Asian vernacular

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Frontiers of Architectural Research 2015年第1期4卷 46-55页

作者： Mamun Rashid dilshad Rahat Ara Department of Architectural Engineering (AE) University of Shauah PO BOX 27272 Sharjah United Arab Emirates Department of Architectural Engineering (AE) United Arab Emirates University (UAEU) PO BOX 15551 AlAin United Arab Emirates

Vernacular buildings across the globe provide instructive examples of sustainable solutions to building problems. Yet, these solutions are assumed to be inapplicable to modern buildings. Despite some views to the contrary, there continues to be a tendency to consider innovative building technology as the hallmark of modern architecture because tradition is commonly viewed as the antonym of modernity. The problem is addressed by practical exercises and fieldwork studies in the application of vernacular traditions to current problems. This study investigates some aspects of mainstream modernist design solutions and concepts inherent in the vernacular of Asia, particularly that of the Chittagong Hill Tracts （CHT）. This work hinges on such ideas and practices as ecological design, modular and incremental design, standardization, and flexible and temporal concepts in the design of spaces. The blurred edges between the traditional and modern technical aspects of building design, as addressed by both vernacular builders and modern architects, are explored.

关键词： Building technotogy Tradition-modernity Innovation Vernaculararchitecture

Analysis of stiffness and flexural strength of a reinforced concrete beam using an invented reinforcement system

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Frontiers of Structural and Civil Engineering 2021年第2期15卷 378-389页

作者： Nazim Abdul NARIMAN Martin HUSEK Ilham Ibrahim MOHAMMAD Kaywan Othman AHMED Diyako dilshad Ibrahim KHIDR Department of Civil Engineering Tishk International UniversitySulaimani46001Iraq Institute of Structural Mechanics Faculty of Civil EngineeringBrno University of TechnologyBrno331/95-60200Czech Republic

In this study,we conducted experimental tests on two specimens of reinforced concrete beams using a three-point bending test to optimize the flexure and stiffness *** first specimen is a reinforced concrete beam with an ordinary reinforcement,and the second specimen has an invented reinforcement system that consists of an ordinary reinforcement in addition to three additional bracings using steel bars and steel *** results of the flexure test were collected and analyzed,and the flexural strength,the rate of damage during bending,and the stiffness were *** element modeling was applied for both specimens using the LS-DYNA program,and the simulation results of the flexure test for the same outputs were *** results of the experimental tests showed that the flexural strength of the invented reinforcement system was significantly enhanced by 15.5%compared to the ordinary ***,the flexural cracks decreased to a significant extent,manifesting extremely small and narrow cracks in the flexure spread along the bottom face of the *** addition,the maximum deflection for the invented reinforced concrete beam decreased to 1/3 compared to that of an ordinary reinforced concrete *** results were verified through numerical simulations,which demonstrated excellent similarities between the flexural failure and the stiffness of the *** invented reinforcement system exhibited a high capability in boosting the flexure design and stiffness.

关键词： three-point flexure test softening stage flexural crack flexural strain

Effects of La_(2)O_(3) addition on microstructure development and physical properties of harder ZTA-CeO_(2) composites with sustainable high fracture toughness

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Journal of Rare Earths 2021年第7期39卷 844-849,I0003页

作者： Zhwan dilshad Ibrahim Sktani Nik Akmar Rejab Abdul Fatah Zulkarnain Rosli Ali Arab Zainal Arifin Ahmad Department of Mechanical and Energy Engineering Erbil Technical Engineering CollegeErbil Polytechnic UniversityErbil44001Iraq Structural Materials Niche Area School of Materials and Mineral Resources EngineeringEngineering CampusUniversiti Sains Malaysia14300Nibong TebalPenangMalaysia State Key Laboratory of Explosion Science and Technology Beijing Institute of TechnologyBeijing 100081China

The influence of La_(2)O_(3) inclusion(0-3 wt%) on the micro structure,phase formation and mechanical properties of zirconia toughed alumina(ZTA) added with 5.0 wt% CeO_(2) was *** CeO_(2) composites were sintered at 1600℃ for 4 *** microstructure,phase formation,density,fracture toughness and hardness properties were characterised through FESEM,Microscopy Image Analysis Software and XRD diffractometer,Archimedes principle and Vickers indentation technique,*** XRD,image processing and FESEM reveal the existence of LaAl_(11)O_(18).The addition of La_(2)O_(3) incites the sintering,microstructure refinement,densification of ZTA-CeO_(2) matrix and phase ***,the hardness of ZTA-CeO_(2) ceramics is increased rapidly based on refinement of Al_(2)O_(3) grains,densification of ZTA-CeO_(2) composites and porosity *** is observed that the fracture toughness is enhanced through in situ formation of elongated LaAl_(11)O_(18) *** addition of 0.7 wt% La_(2)O_(3) culminated in the achievement of the optimum findings for density(4.41 g/cm^(3)),porosity(0.46%),hardness(1792 HV) and fracture toughness(8.8 MPa·m^(1/2)).Nevertheless,excess La_(2)O_(3) is proven to be detrimental as it displays poor mechanical properties due to the poor compactness of numerous LaAl_(11)O_(18) grains,coarsening of Al_(2)O_(3) grains and decline in density.

关键词： ZTA-CeO_(2) Ceramic composite Microstructural design Fracture toughness Vickers hardness Rare earths