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Calf Posture Recognition Using Convolutional Neural Network

Computers, Materials & Continua 2023年第1期74卷 1493-1508页

作者： Tan Chen Tung Uswah Khairuddin mohd ibrahim shapiai Norhariani Md Nor Mark Wen Han Hiew Nurul Aisyah mohd Suhaimie Malaysia-Japan International Institute of Technology Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia Faculty of Veterinary Medicine Universiti Putra MalaysiaSelangor43400Malaysia Faculty of Bioresources and Food Industry Besut22200Malaysia

Dairy farm management is crucial to maintain the longevity of the farm,and poor dairy youngstock or calf management could lead to gradually deteriorating calf health,which often causes premature *** was found to be the most neglected part among the management workflows in Malaysia and has caused continuous loss over the recent *** posture recognition is one of the effective methods to monitor calf behaviour and health state,which can be achieved by monitoring the calf behaviours of standing and lying where the former depicts active calf,and the latter,passive *** posture recognition module is an important component of some automated calf monitoring systems,as the system requires the calf to be in a standing posture before proceeding to the next stage of monitoring,or at the very least,to monitor the activeness of the *** posture such as standing or resting can easily be distinguished by human eye,however,to be recognized by a machine,it will require more complicated frameworks,particularly one that involves a deep learning neural networks *** number of highquality images are required to train a deep learning model for such *** this paper,multiple ConvolutionalNeuralNetwork(CNN)architectures were compared,and the residual network(ResNet)model(specifically,ResNet-50)was ultimately chosen due to its simplicity,great performance,and decent inference *** ResNet-50 models having the exact same architecture and configuration have been trained on two different image datasets respectively sourced by separate cameras placed at different *** were two camera placements to use for comparison because camera placements can significantly impact the quality of the images,which is highly correlated to the deep learning model *** model training,the performance for both CNN models were 99.7%and 99.99%accuracies,respectively,and is adequate for a real-time calf monitoring system.

关键词： Calf posture machine vision deep learning transfer learning

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Triple-Band Circularly Polarized Dielectric Resonator Antenna (DRA) for Wireless Applications

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Computers, Materials & Continua 2023年第1期74卷 313-325页

作者： Azuwa Ali mohd Najib mohd Yasin Ismahayati Adam Ali H.Rambe mohd Haizal Jamaludin Hasliza A Rahim Corhan Cengiz mohd ibrahim shapiai Abd.Razak Advanced Communication Engineering(ACE)Centre of Excellence Faculty Technology of Electrical EngineeringUniversiti Malaysia PerlisPauhPerlis02600Malaysia Advanced Communication Engineering(ACE)Centre of Excellence Faculty Technology of Electronic EngineeringUniversiti Malaysia PerlisPauhPerlis02600Malaysia Department of Electrical Engineering Universitas Sumatera UtaraMedan20155Indonesia Wireless Communication Center Universiti Teknologi MalaysiaSkudai81310JohorMalaysia Korhan Cengiz College of Information Technology University of FujairahFujairah00000United Arab Emirates Malaysia-Japan International Institute of Technology(M-JIIT) Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia

This paper proposes a new dielectric resonator antenna(DRA)design that can generate circularly polarized(CP)triple-band *** CP DRA antenna fed by a probe feed system is achieved with metal strips structure on side of DRA *** design start with conventional rectangular DRA with F shaped metal strips on DRA structure alongside the ***,the F metal strip is enhanced by extending the length of the metal strip to obtain wider impedance *** improvement on the antenna performance is observed by improvised the conventional DRA *** method of removing part of DRA bottom resulted to higher antenna gain with triple band *** primary features of the proposed DRA include wide impedance matching bandwidth(BW)and broadband circular polarization(CP).The primary features of the proposedDRAinclude wide impedance matching bandwidth(BW)and broadband circular polarization(CP).The CP BW values recorded by the proposed antenna were∼11.27%(3.3–3.65 GHz),12.18%(4.17–4.69 GHz),and 1.74%(6.44–6.55 GHz)for impedance-matching BW values of 35.4%(3.3–4.69 GHz),1.74%(5.36–5.44 GHz),and 1.85%(6.41–6.55 GHz)with peak gains of 6.8 dBic,7.6 dBic,and 8.5 dBic,respectively,in the lower,central,and upper *** prototype of the proposed antenna geometry was fabricated and measured.A good agreement was noted between the simulated and the measured results.

关键词： Dielectric resonator antenna(DRA) circularly polarized(CP) parasitic element radiating element

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Congruent Feature Selection Method to Improve the Efficacy of Machine Learning-Based Classification in Medical Image Processing

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 357-384页

作者： mohd Anjum Naoufel Kraiem Hong Min Ashit Kumar Dutta Yousef ibrahim Daradkeh Department of Computer Engineering Aligarh Muslim UniversityAligarh202002India College of Computer Science King Khalid UniversityAbha61413Saudi Arabia School of Computing Gachon UniversitySeongnam13120Republic of Korea Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityRiyadh13713Saudi Arabia Department of Computer Engineering and Information College of Engineering in Wadi AlddawasirPrince Sattam bin Abdulaziz UniversityAl-Kharj16273Saudi Arabia

Machine learning(ML)is increasingly applied for medical image processing with appropriate learning *** applications include analyzing images of various organs,such as the brain,lung,eye,etc.,to identify specific flaws/diseases for *** primary concern of ML applications is the precise selection of flexible image features for pattern detection and region *** of the extracted image features are irrelevant and lead to an increase in computation ***,this article uses an analytical learning paradigm to design a Congruent Feature Selection Method to select the most relevant image *** process trains the learning paradigm using similarity and correlation-based features over different textural intensities and pixel *** similarity between the pixels over the various distribution patterns with high indexes is recommended for disease ***,the correlation based on intensity and distribution is analyzed to improve the feature selection ***,the more congruent pixels are sorted in the descending order of the selection,which identifies better regions than the ***,the learning paradigm is trained using intensity and region-based similarity to maximize the chances of ***,the probability of feature selection,regardless of the textures and medical image patterns,is *** process enhances the performance of ML applications for different medical image *** proposed method improves the accuracy,precision,and training rate by 13.19%,10.69%,and 11.06%,respectively,compared to other models for the selected *** mean error and selection time is also reduced by 12.56%and 13.56%,respectively,compared to the same models and dataset.

关键词： Computer vision feature selection machine learning region detection texture analysis image classification medical images

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Comparative performance of different urea coating materials for slow release

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Particuology 2014年第6期12卷 165-172页

作者： Khairul Ridzwan mohd ibrahim Farahnaz Eghbali Babadi Robiah Yunus Department of Chemical and Environmental Engineering Faculty of EngineeringUniversiti Putra Malaysia Institute of Advanced Technology Universiti Putra Malaysia

Approximately 70%of the applied urea fertilizer may be lost into the *** loss is due to leaching,decomposition and ammonium volatilization in soil,water and *** coating,the slow release technology can be used to reduce losses and to increase the fertilizer *** has been used as a coating material,but the coating cracks easily because of its friability,sometimes being peeled off from the urea *** this study,four types of materials,namely,gypsum,cement,sulfur and zeolite,were mixed and used as coating materials to search for the most effective and cheap coating *** primary reasons for selecting these materials were improving fruit quality and preventing plant diseases,providing a plant nutrient,increasing soil fertility and water *** materials were also selected based on their availability,processiblity and *** effects of the coating materials,thickness,drying time,sieving and sealant on the crushing strength and dissolution rate of urea were *** urea with the same proportion of gypsum-sulfur exhibited high crushing strength and lower dissolution ***,the performance was further enhanced by applying molten paraffin wax on the hot urea *** images demonstrated that the micro-structure of gypsum-sulfur coated urea after sieving resulted in a smoother coated *** efficiency of the coated urea was improved by26%using gypsum-sulfur（20%total coating）,3%paraffin wax and sieving the coating materials before application.

关键词： Coating Urea Gypsum Sulfur Slow release Crushing strength

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Helicobacter pylori and other Helicobacter species DNA in human bile samples from patients with various hepato-biliary diseases

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World Journal of Gastroenterology 2006年第14期12卷 2181-2186页

作者： Santosh K Tiwari Aleem A Khan mohd ibrahim mohd Aejaz Habeeb C M Habibullah Center for Liver Research and Diagnostics Deccan College of Medical Sciences KanchanbaghHyderabad 500 058Andhra PradeshIndia Center for Liver Research and Diagnostics Deccan College of Medical Sciences KanchanbaghHyderabad 500 058Andhra PradeshIndia Department of GastroenterologyDeccan College of Medical Sciences Hyderabad 500 058Andhra PradeshIndia

AIM： To investigate the presence of Helicobacter species by nested PCR of 16S rRNA genes followed by the presence of Flelicobacter pylori （H pylori） 16S rRNA, ureA, cagA genes in bile obtained at endoscopic retrograde cholangio-pancreatography （ERCP） from 60 Indian subjects. METHODS： Sixty bile samples were obtained from patients diagnosed with various hepato-biliary diseases and control subjects at ERCP. PCR analysis was carried out using primers for Helicobacter genus 16S rRNA gene and H pylori （16S rRNA, urea and cagA） genes. Gastric H pylori status was also assessed from biopsies obtained at endoscopy from patients with various hepatobiliary diseases and controls. The control group mainly consisted of subjects with gastric disorders. Sequencing analysis was performed to confirm that PCR products with 16S rRNA and cagA primers were derived from H pylori. RESULTS No Helicobacters were grown in culture from the bile samples. Helicobacter DNA was detected in bile of 96.7% and 6.6% of groups Ⅰ and Ⅱ respectively. Ten from group Ⅰ were positive for 16S rRNA and ureA and 9 were positive for cagA gene. In contrast of the 2 from the control, 1 amplified with 16S rRNA, ureA and cagA primers used. The sequences of the 16S rRNA genes and cagA were 99% similar to Helicobacter pylori. CONCLUSION： Helicobacters are associated with the pathogenesis of various hepato-biliary disorders.

关键词： Helicobacter pylori Bile Hepato-biliary diseases PCR, Sequence analysis

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Integrated Evolving Spiking Neural Network and Feature Extraction Methods for Scoliosis Classification

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Computers, Materials & Continua 2022年第12期73卷 5559-5573页

作者： Nurbaity Sabri Haza Nuzly Abdull Hamed Zaidah ibrahim Kamalnizat ibrahim mohd Adham Isa Faculty of Engineering Universiti Teknologi MalaysiaSchool of ComputingSkudai81310JohorMalaysia Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Cawangan Melaka Kampus JasinMerlimau77300MelakaMalaysia Faculty of Computer and Mathematical Sciences University Teknologi MARAShah Alam40450SelangorMalaysia Fakulti Perubatan&Kesihatan Pertahanan Universiti Pertahanan Nasional Malaysia(UPNM)Sungai Besi57000Kuala LumpurMalaysia

Adolescent Idiopathic Scoliosis(AIS)is a deformity of the spine that affects *** current method for detecting AIS is based on radiographic images which may increase the risk of cancer growth due to *** is another alternative used to identify AIS by distinguishing the curves of the spine from the surface of a human’s ***,detecting the curve of the spine is manually performed,making it a time-consuming *** overcome this issue,it is crucial to develop a better model that automatically detects the curve of the spine and classify the types of *** research proposes a new integration of ESNN and Feature Extraction(FE)methods and explores the architecture of ESNN for the AIS classification *** research identifies the optimal Feature Extraction(FE)methods to reduce computational *** ability of ESNN to provide a fast result with a simplicity and performance capability makes this model suitable to be implemented in a clinical setting where a quick result is crucial.A comparison between the conventional classifier(Support Vector Machine(SVM),Multi-layer Perceptron(MLP)and Random Forest(RF))with the proposed AIS model also be performed on a dataset collected by an orthopedic expert from Hospital Universiti Kebangsaan Malaysia(HUKM).This dataset consists of various photogrammetry images of the human back with different types ofMalaysian AIS patients to solve the scoliosis *** process begins by pre-processing the images which includes resizing and converting the captured pictures to gray-scale *** is then followed by feature extraction,normalization,and *** experimental results indicate that the integration of LBP and ESNN achieves higher accuracy compared to the performance of multiple baseline state-of-the-art Machine Learning for AIS *** demonstrates the capability of ESNN in classifying the types of AIS based on photogrammetry images.

关键词： Adolescent idiopathic scoliosis evolving spiking neural network lenke type local binary pattern photogrammetry

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Smart Objects Identification System for Robotic Surveillance

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International Journal of Automation and computing 2014年第1期11卷 59-71页

作者： Amir Akramin Shafie Azhar Bin mohd ibrahim Muhammad Mahbubur Rashid Department of Mechatronics Engineering Faculty of EngineeringInternational Islamic University Malaysia

Video surveillance is an active research topic in computer *** this paper,humans and cars identifcation technique suitable for real time video surveillance systems is *** technique we proposed includes background subtraction,foreground segmentation,shadow removal,feature extraction and *** feature extraction of the extracted foreground objects is done via a new set of afne moment invariants based on statistics method and these were used to identify human or *** the partial occlusion occurs,although features of full body cannot be extracted,our proposed technique extracts the features of head *** proposed technique can identify human by extracting the human head-shoulder up to 60%–70%***,it has a better classifcation to solve the issue of the loss of property arising from human occluded easily in practical *** whole system works at approximately 16 29 fps and thus it is suitable for real-time *** accuracy for our proposed technique in identifying human is very good,which is 98.33%,while for cars identifcation,the accuracy is also good,which is 94.41%.The overall accuracy for our proposed technique in identifying human and car is at 98.04%.The experiment results show that this method is efective and has strong robustness.

关键词： Humans and cars identifcation partially occluded human afne moment invariants video surveillance systems machine vision

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Preparation and Properties of Poly(vinyl alcohol)/Chitosan Blend Bio-nanocomposites Reinforced by Cellulose Nanocrystals

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Chinese Journal of Polymer Science 2014年第12期32卷 1620-1627页

作者： Susan Azizi Mansor Bin Ahmad Nor Azowa ibrahim mohd Zobir Hussein Farideh Namvar Department of Chemistry Faculty of Science University Putra Malaysia Materials Synthesis and Characterization Laboratory Institute of Advanced Technology University Putra Malaysia Institute of Tropical Forestry and Forest Products Universiti Putra Malaysia Mashhad Branch Islamic Azad University

The aim of this paper is to report the effect of the addition of cellulose nanocrystals（CNCs） on the mechanical, thermal and barrier properties of poly（vinyl alcohol）/chitosan（PVA/Cs） bio-nanocomposites films prepared through the solvent casting process. The characterizations of PVA/Cs/CNCs films were carried out in terms of X-ray diffraction（XRD）, transmission electron microscopy（TEM）, scanning electron microscopy（SEM）, thermogravimetric analysis（TGA and DTG）, oxygen transmission rate（OTR）, and tensile tests. TEM and SEM results showed that at low loading levels, CNCs were dispersed homogenously in the PVA/Cs matrix. The tensile strength and modulus in films increased from 55.1 MPa to 98.4 MPa and from 395 MPa to 690 MPa respectively, when CNCs content went from 0 wt% to 1.0 wt%. The thermal stability and oxygen barrier properties of PVA/Cs matrix were best enhanced at 1.0 wt% of CNCs loading. The enhanced properties attained by incorporating CNCs can be beneficial in various applications.

关键词： Bio-nanocomposite Poly(vinyl alcohol)/chitosan Cellulose nanocrystals Mechanical properties Thermal properties.

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Immunosuppressive and antibacterial activities of dihydromorin and norartocarpetin isolated from Artocarpus heterophyllus heartwoods

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Asian Pacific Journal of Tropical Biomedicine 2020年第8期10卷 361-368页

作者： Abdi Wira Septama ibrahim Jantan Pharkphoom Panichayupakaranant mohd Fadhlizil Fasihi mohd Aluwi Eldiza Puji Rahmi Research Center for Chemistry Indonesian Institute of SciencesKawasan PUSPIPTEK SerpongTangerang SelatanBanten 15314Indonesia School of Pharmacy Faculty of Health and Medical SciencesTaylor's UniversityLakeside Campus47500 Subang JayaSelangorMalaysia Faculty of Pharmaceutical Sciences Prince of Songkla UniversityHat-YaiSongkhla 90112Thailand Faculty of Industrial Sciences and Technology Universiti Malaysia PahangLebuhraya Tun Razak26300GambangPahangMalaysia Faculty of Medicine Universitas Pembangunan Nasional Veteran JakartaJakarta Selatan12450Indonesia

Objective:To evaluate the immunosuppressive effect on human phagocytes and antibacterial activity of dihydromorin and norartocarpetin isolated from Artocarpus heterophyllus ***:Dihydromorin and norartocarpetin were isolated from Artocarpus heterophyllus heartwoods.A modified Boyden chamber was used to determine the chemotactic activity of human *** respiratory burst was evaluated by chemiluminescence ***(MPO)activity was quantified using a colorimetric *** broth microdilution method was performed to assess their antibacterial ***:Dihydromorin exhibited potent inhibitory effect on the chemotactic activity of polymorphonuclear neutrophils(PMNs)with an IC50 value of 5.03μg/*** also inhibited reactive oxygen species production of whole blood cells,PMNs,and monocytes with IC50 values of 7.88,7.59 and 7.24μg/mL,***,dihydromorin also strongly inhibited the MPO activity of PMNs with an IC50 value of 5.24μg/mL,which was lower than indomethacin(24.6μg/mL).Molecular docking of dihydromorin and crystal structure of MPO showed that dihydromorin had close interaction with key amino acid residues such as Arg239 and *** activity assay showed that only dihydromorin had a strong effect against Streptococcus pyogenes with MIC and MBC values of 15.62 and 31.25μg/mL,***:The results suggest that dihydromorin could be developed as an anti-inflammatory and antibacterial agent.

关键词： Dihydromorin Immunosuppressive Antibacterial Flavonoid Myeloperoxidase Artocarpus heterophyllus

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Position Control of Flexible Joint Carts Using Adaptive Generalized Dynamics Inversion

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Computers, Materials & Continua 2022年第3期70卷 4691-4705页

作者： ibrahim M.Mehedi mohd Heidir mohd Shah Soon Xin Ng Abdulah Jeza Aljohani Mohammed El-Hajjar Muhammad Moinuddin Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah21589Saudi Arabia Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah21589Saudi Arabia Next Generation Wireless Research Group University of SouthamptonUK

This paper presents the design and implementation of Adaptive Generalized Dynamic Inversion(AGDI)to track the position of a Linear Flexible Joint Cart(LFJC)system along with vibration suppression of the flexible *** proposed AGDI control law will be comprised of two control *** baseline(continuous)control law is based on principle of conventional GDI approach and is established by prescribing the constraint dynamics of controlled state variables that reflect the control *** control law is realized by inverting the prescribed dynamics using dynamically scaledMoore-Penrose generalized *** boost the robust attributes against system nonlinearities,parametric uncertainties and external perturbations,a discontinuous control law will be augmented which is based on the concept of sliding mode *** discontinuous control law,the sliding mode gain is made adaptive in order to achieve improved tracking performance and chattering *** closed-loop stability of resultant control law is established by introducing a positive define Lyapunov candidate function such that semi-global asymptotic attitude tracking of LFJC system is *** computer simulations followed by experimental investigation will be performed on Quanser’s LFJC system to authenticate the feasibility of proposed control approach for its application to real world problems.

关键词： Adaptive control generalized dynamic inversion moore-penrose generalized inverse sliding mode control lyapunov stability semi-global asymptotic stability

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