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Review:Development of lanthanum strontium cobalt ferrite composite cathodes for intermediate-to low-temperature solid oxide fuel cells

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2013年第1期14卷 11-24页

作者： Nurul Akidah BAHARUDDIN hamimah abd rahman Andanastuti MUCHTAR Abu Bakar SULONG Huda abdULLAH Fuel Cell Institute Universiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia86400 BatuPahatJohorMalaysia Department of Mechanical and Materials Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia

Solid oxide fuel cells （SOFCs） offer high energy conversion, low noise, low pollutant emission, and low processing cost. Despite many advantages, SOFCs face a major challenge in competing with other types of fuel cells because of their high operating temperature. The necessity to reduce the operational temperature of SOFCs has led to the development of research into the materials and fabrication technology of fuel cells. The use of composite cathodes significantly reduces the cathode polarization resistance and expands the triple phase boundary area available for oxygen reduction. Powder preparation and composite cathode fabrication also affect the overall performance of composite cathodes and fuel cells. Among many types of cathode materials, lanthanum-based materials such as lanthanum strontium cobalt ferrite （Lal_xSrxCOl_yFey03_~） have recently been discovered to offer great compatibility with ceria-based electrolytes in performing as composite cathode materials for intermediate- to low-temperature SOFCs （IT-LTSOFCs）. This paper reviews various ceria-based composite cathodes for IT-LTSOFCs and focuses on the aspects of progress and challenges in materials technology.

关键词： Ceria-based composite cathode Lanthanum strontium cobalt ferrite Intermediate- to low-temperature solid oxidefuel cells (IT-LTSOFCs)

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Spatio-temporal clustering analysis of COVID-19 cases in Johor

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Infectious Disease Modelling 2024年第2期9卷 387-396页

作者： Fong Ying Foo Nuzlinda abdul rahman Fauhatuz Zahroh Shaik abdullah Nurul Syafiah abd Naeeim School of Mathematical Sciences Universiti Sains Malaysia11800Pulau PinangMalaysia

At the end of the year 2019,a virus named SARS-CoV-2 induced the coronavirus disease,which is very contagious and quickly spread around the *** new infectious disease is called *** areas,such as the economy,social services,education,and healthcare system,have suffered grave consequences from the invasion of this deadly ***,a thorough understanding of the spread of COVID-19 is required in order to deal with this outbreak before it becomes an infectious *** this research,the daily reported COVID-19 cases in 92 sub-districts in Johor state,Malaysia,as well as the population size associated to each sub-district,are used to study the propagation of COVID-19 disease across space and time in *** time frame of this research is about 190 days,which started from August 5,2021,until February 10,*** clustering technique known as spatio-temporal clustering,which considers the spatio-temporal metric was adapted to determine the hot-spot areas of the COVID-19 disease in Johor at the sub-district *** results indicated that COVID-19 disease does spike in the dynamic populated sub-districts such as the state's economic centre(Bandar Johor Bahru),and during the festive *** findings empirically prove that the transmission rate of COVID-19 is directly proportional to human mobility and the presence of *** the other hand,the result of this study will help the authority in charge in stopping and preventing COVID-19 from spreading and become worsen at the national level.

关键词： Disease mapping COVID-19Hot-spot areas Sub-district level Spatio-temporal clustering Scan statistics

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A Low Complexity ML-Based Methods for Malware Classification

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Computers, Materials & Continua 2024年第9期80卷 4833-4857页

作者： Mahmoud E.Farfoura Ahmad Alkhatib Deema Mohammed Alsekait Mohammad Alshinwan Sahar A.El-rahman Didi Rosiyadi Diaa Salama abd Elminaam Cybersecurity Department Al-Zaytoonah University of JordanAmman11733Jordan Department of Computer Science and Information Technology Applied CollegePrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Faculty of Information Technology Applied Science Private UniversityAmman11931Jordan Computer Systems Program-Electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairo11629Egypt Research Center for Artificial Intelligence and Cybersecurity Electronics and Informatics OrganizationNational Research and Innovation Agency(BRIN)KST Samaun SamadikunBandung40135Republic of Indonesia Jadara Research Center Jadara UniversityIrbid21110Jordan MEU Research Unit Middle East UniversityAmman11831Jordan

The article describes a new method for malware classification,based on a Machine Learning(ML)model architecture specifically designed for malware detection,enabling real-time and accurate malware *** an innovative feature dimensionality reduction technique called the Interpolation-based Feature Dimensionality Reduction Technique(IFDRT),the authors have significantly reduced the feature space while retaining critical information necessary for malware *** technique optimizes the model’s performance and reduces computational *** proposed method is demonstrated by applying it to the BODMAS malware dataset,which contains 57,293 malware samples and 77,142 benign samples,each with a 2381-feature *** the IFDRT method,the dataset is transformed,reducing the number of features while maintaining essential data for accurate *** evaluation results show outstanding performance,with an F1 score of 0.984 and a high accuracy of 98.5%using only two reduced *** demonstrates the method’s ability to classify malware samples accurately while minimizing processing *** method allows for improving computational efficiency by reducing the feature space,which decreases the memory and time requirements for training and *** new method’s effectiveness is confirmed by the calculations,which indicate significant improvements in malware classification accuracy and *** research results enhance existing malware detection techniques and can be applied in various cybersecurity applications,including real-timemalware detection on resource-constrained *** and scientific contribution lie in the development of the IFDRT method,which provides a robust and efficient solution for feature reduction in ML-based malware classification,paving the way for more effective and scalable cybersecurity measures.

关键词： Malware detection ML-based models dimensionality reduction feature engineering

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Quran memorisation and heart rate variability:How do they correlate?

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World Journal of Clinical Cases 2024年第29期12卷 6275-6284页

作者： Ahmad Rohi Ghazali Nor Malia abd Warif Noor Anisah A Yazit Norsham Juliana Ismarulyusda Ishak Farah Wahida Ibrahim Arimi Fitri Mat Ludin Dzalani Harun Santibuana abd rahman Wan Nor Atikah Che Wan Mohd Rozali Biomedical Science Programme Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala Lumpur 50300Malaysia Center for Toxicology and Health Risk Studies Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala Lumpur 50300Malaysia Faculty of Medicine and Health Sciences Universiti Sains Islam MalaysiaNilai 71800Malaysia Center for Healthy Ageing and Wellness Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala Lumpur 50300Malaysia Center for Rehabilitation and Special Needs Studies Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala Lumpur 50300Malaysia Occupational Therapy Programme Faculty of Health SciencesUniversiti Kebangsaan MalaysiaKuala Lumpur 50300Malaysia Faculty of Pharmacy and Health Sciences Universiti Kuala Lumpur Royal College of Medicine PerakIpoh Perak 30450Malaysia

BACKGROUND Heart rate variability(HRV)was shown to be affected by performing religious *** To examine the relationship between the level of Quran(the holy book of Muslims)memorisation and HRV among *** This experimental study included 16 Tahfiz students and 16 non-Tahfiz students(n=32).The HRV was measured in three tasks:Recalling familiar verses,memorising new verses,and recalling the newly memorised verses of the *** analysis was done using these parameters:Standard deviation of N-N(heartbeat peak)interval;low frequency(LF);high frequency(HF)and LF/HF *** There were significant differences between tasks for all parameters(P<0.05).However,between the groups,only the LF/HF ratio had significant differences,with F=5.04,P<*** correlation showed a moderate positive correlation between the number of pages memorised and the LF/HF ratio(r=0.61,P<0.05).CONCLUSION Quran memorisation increased the HRV and our results suggested that this activity could be developed as an effective sympathovagal modulation training activity.

关键词： Heart rate variability Autonomic nervous system Quran memorisation Tahfiz student Heartbeat

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An Improved Hybrid Indoor Positioning Algorithm via QPSO and MLP Signal Weighting

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Computers, Materials & Continua 2023年第1期74卷 379-397页

作者： Edgar Scavino Mohd Amiruddin abd rahman Zahid Farid Department of Physics Faculty of ScienceUniversiti Putra MalaysiaUPM Serdang43400Malaysia Department of Electrical Engineering Abasyn UniversityKhyber-PakhtunkhwaPakistan

Accurate location or positioning of people and self-driven devices in large indoor environments has become an important necessity The application of increasingly automated self-operating moving transportation units,in large indoor spaces demands a precise knowledge of their *** like WiFi and Bluetooth,despite their low-cost and availability,are sensitive to signal noise and fading *** these reasons,a hybrid approach,which uses two different signal sources,has proven to be more resilient and accurate for the positioning determination in indoor ***,this paper proposes an improved hybrid technique to implement a fingerprinting based indoor positioning,using Received Signal Strength information from available Wireless Local Area Network access points,together with the Wireless Sensor Networks *** signals were recorded on a regular grid of anchor points,covering the research *** optimization was performed by relative signal weighting,to minimize the average positioning error over the research *** optimization process was conducted using a standard Quantum Particle Swarm Optimization,while the position error estimate for all given sets of weighted signals was performed using aMultilayer Perceptron(MLP)neural *** to our previous research works,the MLP architecture was improved to three hidden layers and its learning parameters were finely *** experimental results led to the 20%reduction of the positioning error when a suitable set of signal weights was calculated in the optimization *** final achieved value of 0.725 m of the location incertitude shows a sensible improvement compared to our previous results.

关键词： QPSO indoor localization fingerprinting neural networks WiFi WSN

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Intelligently Tuned Wavelet Parameters for GPS/INS Error Estimation

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International Journal of Automation and computing 2011年第4期8卷 411-420页

作者： Ahmed Mudheher Hasan Khairulmizam Samsudin abd rahman Ramli Computer Systems Research Group Department of Computer and Communication Systems University Putra Malaysia 43400 UPM-Serdang Malaysia

This paper presents a new algorithm for de-noising global positioning system （GPS） and inertial navigation system （INS） data and estimates the INS error using wavelet multi-resolution analysis algorithm （WMRA）-based genetic algorithm （GA） with a well-designed structure appropriate for practical and real time implementations because of its very short training time and elevated accuracy. Different techniques have been implemented to de-noise and estimate the INS and GPS errors. Wavelet de-noising is one of the most exploited techniques that have been recently used to increase the precision and reliability of the integrated GPS/INS navigation system. To ameliorate the WMRA algorithm, GA was exploited to optimize the wavelet parameters so as to determine the best wavelet filter, thresholding selection rule （TSR）, and the optimum level of decomposition （LOD）. This results in increasing the robustness of the WMRA algorithm to estimate the INS error. The proposed intelligent technique has overcome the drawbacks of the tedious selection for WMRA algorithm parameters. Finally, the proposed method improved the stability and reliability of the estimated INS error using real field test data.

关键词： Global positioning system (GPS) inertial navigation system (INS) wavelet multi-resolution analysis (WMRA) genetic algorithm (GA) inertial measurement unit (IMU) level of decomposition (LOD) threshold selection rule (TSR).

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Multi-Scale Network with Integrated Attention Unit for Crowd Counting

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Computers, Materials & Continua 2022年第11期73卷 3879-3903页

作者： Adel Hafeezallah Ahlam Al-Dhamari Syed abd rahman Abu-Bakar Department of Electrical Engineering Taibah UniversityMadinahSaudi Arabia Department of Electronics and Computer Engineering School of Electrical EngineeringFaculty of EngineeringUniversiti Teknologi Malaysia81310JohorMalaysia Department of Computer Engineering Hodeidah UniversityHodeidahYemen

Estimating the crowd count and density of highly dense scenes witnessed in Muslim gatherings at religious sites in Makkah and Madinah is critical for developing control strategies and organizing such a large ***,since the crowd images in this case can range from low density to high density,detection-based approaches are hard to apply for crowd ***,deep learning-based regression has become the prominent approach for crowd counting problems,where a density-map is estimated,and its integral is further computed to acquire the final count *** this paper,we put forward a novel multi-scale network(named 2U-Net)for crowd counting in sparse and dense *** proposed framework,which employs the U-Net architecture,is straightforward to implement,computationally efficient,and has single-step *** layers are used to retrieve the pooling layers’erased information and learn hierarchically pixelwise spatial *** helps in obtaining feature values,retaining spatial locations,and maximizing data integrity to avoid data *** addition,a modified attention unit is introduced and integrated into the proposed 2UNet model to focus on specific crowd *** proposed model concentrates on balancing the number of model parameters,model size,computational cost,and counting accuracy compared with other works,which may involve acquiring one criterion at the expense of other *** on five challenging datasets for density estimation and crowd counting have shown that the proposed model is very effective and outperforms comparable mainstream ***,it counts very well in both sparse and congested crowd *** 2U-Net model has the lowest MAE in both parts(Part A and Part B)of the ShanghaiTech,UCSD,and Mall benchmarks,with 63.3,7.4,1.5,and 1.6,***,it obtains the lowest MSE in the ShanghaiTech-Part B,UCSD,and Mall benchmarks with 12.0,1.9,and 2.1,respectively.

关键词： Computer vision crowd analysis crowd counting U-Net max-pooling index unpooling attention units

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Electrochemical performance of overlithiated Li1＋xNi0.8Co0.2O2： structural and oxidation state studies

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Frontiers of Materials Science 2015年第2期9卷 199-205页

作者： Roshidah RUSDI Norlida KAMARULZAMAN Kelimah ELONG Hashlina RUSDI Azilah abd-rahman School of Physics and Materials Faculty of Applied Sciences Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia Centre for Nanomaterials Research Institute of Science Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia Centre for Foundation Studies in Science University of Malaya 50603 Kuala Lumpur Malaysia School of Chemistry and Environment Faculty of Applied Sciences Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia

Pure, layered compounds of overlithiated Li1＋xNi0.8Co0.2O2（x = 0.05 and 0.1） were successfully prepared by a modified combustion method. XRD studies showed that cell parameters of the material decreased with increasing the lithium content. SEM revealed that the morphology of particles changed from rounded polyhedral-like crystallites to sharp-edged polyhedral crystals with more doped lithium. EDX showed that the stoichiometries of Ni and Co agrees with calculated synthesized values. Electrochemical studies revealed the overlithiated samples have improved capacities as well as cycling behavior. The sample with x = 0.05 shows the best performance with a specific capacity of 113.29 mA.h.g-1 and the best capacity retention of 92.2% over 10 cycles. XPS results showed that the binding energy of Li ls is decreased for the Li doped samples with the smallest value for the x = 0.05 sample, implying that Li＋ ions can be extracted more easily from Li1.05Ni0.8Co0.2O2 than the other stoichiometries accounting for the improved performance of the material. Considerations of core level XPS peaks for transition metals reveal the existence in several oxidation states. However, the percentage of the＋3 oxidation state of transition metals for the when x = 0.1 is the highest and the availability for charge transition from the ＋3 to＋4 state of the transition metal during deintercalation is more readily available.

关键词： overlithiation LiNio.8Coo.202 interstitial doped Li1.05Ni0.8Co0.2O2 Li1.1Ni0.8Co0.2O2

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Acoustic Conditioning System Development and Conditioning Experiments on Black Seabreams in the Xiangshan Bay Sea Ranch

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Journal of Ocean University of China 2018年第3期17卷 667-674页

作者： HU Qingsong rahman Hafiz abd ur JIANG Yazhou ZHANG Shouyu SHENTU Jikang College of Engineering Shanghai Ocean University Shanghai 201306 China East China Sea Fisheries Research Institute Shanghai 200090 China Ningbo Ocean and Fishery Research Institute Ningbo 315103 China

Attracting released hatchery-reared fish to designated areas during the growth process is vital to realize the objectives of sea ranching. Based on the bottom artificial reefs and surface kelp culture facilities in the Xiangshan Bay sea ranch, we proposed systematic techniques related to acoustic conditioning of the black seabream(Sparus macrocephalus). Experiments conducted in 12 m × 10 m × 1.6 m ponds on Xixuan Island showed that black seabream was positively sensitive to 500–600 Hz periodic signals. Conditioned responses were apparent after 8 d. Two to three days were required for recovery of the memory of a conditioned response after a 20-day interval. According to the practical application requirements in the open sea, unattended acoustic conditioning equipment was developed. The ranching equipment was used in 12 m × 12 m × 2.5 m cages, and the behavior of black seabream juveniles was successfully guided after 7 days. Of the 16000 released fish, 82.5% of them were conditioned with a flexible grading net. To avoid inducing a stress response, the juveniles were released into the sea ranch in situ from the net cage. The acoustic conditioning equipments were moved into the open sea and the aggregation phenomenon of the released fish was observed when the sound was played. After 6 months of investigation and based on Sr+ marking, only one acoustically conditioned fish was found outside the 3.5-km^2 sea ranch area, thereby reached the goal of guiding activity. The practical effect in the Xiangshan Bay sea ranch showed the validity of the acoustic conditioning system, which may contribute to improve the operation of the sea ranches in the East China Sea.

关键词： sea ranch black seabream ranching equipment acoustic conditioning aggregation

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First Record of the Belemnite Genus Hibolithes from Late Jurassic–Early Cretaceous Turbidites from Malaysia

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Acta Geologica Sinica(English Edition) 2021年第2期95卷 333-341页

作者： Muhammad MURTAZA abdul Hadi abd rahman Joerg MUTTERLOSE Najiatun NAJLA Mazshurraiezal Bin NASIR Department of Earth and Environmental Sciences Hazara UniversityMansehraKhyber Pakhtunkhwa 21120Pakistan Department of Geosciences Universiti Teknologi PETRONAS.Bandar Seri IskandarTronohPerak 31750Malaysia Department of Geology Mineralogy and GeophysicsRuhr-Universitat BochumUniversitatsstrasse 150Bochum 44801Germany

Discovery of the remains of belemnites referred to the Hibolithes *** the Jurassic–Cretaceous Pedawan Formation in Sarawak,on the island of Borneo(Malaysia)comprises four fragments of belemnite *** specimens are characterized by multiple fractures and vein *** fragments measuring about 130 mm are relatively intact,with only part of the alveolar region missing;a third piece represents the middle part of a rostrum,and the fourth specimen is too fragmentary to be assigned to any specific part of the *** on specimen characteristics,a Tithonian–Hauterivian age is *** sedimentary succession that yielded the belemnite material comprises thick shale that reflects the Te division of Bouma *** occurrence of a Hibolithes taxon in the uppermost Jurassic to lowermost Cretaceous Pedawan Formation sediments in Borneo reflects a near to global palaeobiogeographic distribution of this genus.

关键词： invertebrate paleontology Belemnitida Hibolithes turbidites Pedawan Formation Tithonian-Hauterivian Sarawak Borneo

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