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Markov Chain Modelling of Reliability Analysis and Prediction under Mixed Mode Loading

Chinese Journal of Mechanical Engineering 2015年第2期28卷 307-314页

作者： SINGH Salvinder ABDULLAH Shahrum NIK MOHAMED Nik Abdullah mohd NOORANI mohd Salmi Department of Mechanical and Materials Engineering Faculty of Engineering & Built EnvironmentUniversiti Kebangsaan Malaysia Department of Mechanical Engineering Universiti Malaysia Pahang School of Mathematical Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia

The reliability assessment for an automobile crankshaft provides an important understanding in dealing with the design life of the component in order to eliminate or reduce the likelihood of failure and safety *** failures of the crankshafts are considered as a catastrophic failure that leads towards a severe failure of the engine block and its other connecting *** reliability of an automotive crankshaft under mixed mode loading using the Markov Chain Model is *** Markov Chain is modelled by using a two-state condition to represent the bending and torsion loads that would occur on the *** automotive crankshaft represents a good case study of a component under mixed mode loading due to the rotating bending and torsion *** estimation of the Weibull shape parameter is used to obtain the probability density function,cumulative distribution function,hazard and reliability rate functions,the bathtub curve and the mean time to *** various properties of the shape parameter is used to model the failure characteristic through the bathtub curve is ***,an understanding of the patterns posed by the hazard rate onto the component can be used to improve the design and increase the life cycle based on the reliability and dependability of the *** proposed reliability assessment provides an accurate,efficient,fast and cost effective reliability analysis in contrast to costly and lengthy experimental techniques.

关键词： reliability Weibull Markov Chain mixed mode failure

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~etting up a men＇s clinic has never been an easy task. I have done it, and here is my story

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Asian Journal of Andrology 2011年第4期13卷 607-608页

作者： mohd Ismail Bin mohd Tambi Male Wellness Clinic Damai Service Hospital Kuala Lumpur 521000 Malaysia

Almost a quarter of a century ago, having completed a diploma in reproductive medicine, I was sent to the Monash Medical Research Centreat Prince Henry＇s Hospital in St Kilda, Melbourne, Australia, on a fellowship in clinical andrology and semenology. Professor H. W. Gordon Baker and the present governor of Victoria, Professor David de Kretser. were mv mentors in andrology.

关键词： Setting story

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Eurycoma longifolia Jack in managing idiopathic male infertility

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Asian Journal of Andrology 2010年第3期12卷 376-380,I0010页

作者： mohd Ismail Bin mohd Tambi M. Kamarul Imran Wellmen Clinic Damai Service Hospital Kuala Lumpur 52100 Malaysia Department of Community Medicine School of Medical Sciences University Sains Malaysia Kbg Kerian Kelantan 16150 Malaysia

This study investigated the effect of treatment with the proprietary standardized, water-soluble extract of the root of the Malaysian plant, Eurycoma longifolia Jack, which is thought to enhance male fertility with regard to higher semen volumes, sperm concentrations, the percentage of normal sperm morphology and sperm motility in male partners of sub-fertile couples with idiopathic infertility. A total of 350 patients were given 200 mg of the extract daily and follow-up semen analyses were performed every 3 months for 9 months. Of these 350 patients, 75 patients completed one full cycle of 3 months. Follow-up semen analyses in these patients showed significant improvement in all semen parameters. The proprietary extract of Eurycoma longifolia Jack significantly improved the sperm quality in these patients, allowing for 11 （14.7%） spontaneous pregnancies.

关键词： male infertility medicinal herbs semen

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Preparation process of bio-oil and bio-asphalt,their performance,and the application of bio-asphalt:A comprehensive review

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Journal of Traffic and Transportation Engineering(English Edition) 2020年第2期7卷 137-151页

作者： Hainian Wang Ziye Ma Xi Chen mohd Rosli mohd Hasan School of Highway Chang'an UniversityXi'an 710064China School of Civil Engineering Universiti Sains MalaysiaNibong Tebal 14300Pulau PinangMalaysia

The objective of this paper is to establish the state of knowledge on fast pyrolysis of bio-oil and bio-asphalt binder and to facilitate efforts in improving the overall perform ance of bioasphalt and maximizing its road *** the basis of reviewing the relevant literature recently,the fast pyrolysis(FasP) preparation process of bio-oil and its main properties,the preparation process of bio-asphalt and its performance and the application of bio-asphalt have been *** to the variations in raw materials,the adopted methods of FasP to prepare bio-oil could be different,and the properties of bio-oil from different sources are also *** present,the plant-based bio-oil(mainly derived from wood waste and sawdust) has been widely used to prepare the *** on the low-temperature flexibility,high-temperature rheology,workability and other performance of biological asphalt showed that the workability and high-temperature performance of most asphalt are improved after adding ***,the low-temperature performance is found to relatively ***,with regards to its application as a rejuvenator,bio-oil can considerably rejuvenate the aged asphalt’s mixture *** far,most of research on bio-asphalt is still focused on the performance of bio-asphalt binder in the laboratory;its application in practical road engineering is still to be *** review also provides an outlook for the future,for example,establishing an integrated preparation process from bio-oil to bio-asphalt,and evaluating the properties of bioasphalt by new standards.

关键词： Road engineering Bio-oil Bio-asphalt Preparation process Performance Application of bio-asphalt

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Co-production of biochar and carbon nanotube from sewage sludge in a two-stage process coupling pyrolysis and catalytic chemical vapor deposition

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WASTE DISPOSAL & SUSTAINABLE ENERGY 2024年第3期6卷 323-334页

作者： Ghazali, mohd Syazwan mohd Zaini, mohd Saufi Md Arshad, Muhammad Syed-Hassan, Syed Shatir A. Univ Teknol MARA Coll Engn Sch Chem Engn Shah Alam 40450 Selangor Malaysia Univ Kuala Lumpur Malaysia Inst Chem & Bioengn Sect Environm Engn Alor Gajah 78000 Melaka Malaysia Univ Teknol MARA Cawangan Terengganu Coll Engn Chem Engn Studies Kampus Bukit Besi Dungun 23200 Terengganu Malaysia Jhang Campus Univ Vet & Anim Sci Dept Basic Sci Lahore Pakistan

This study explores the potential of valorizing sewage sludge as a carbon source for the co-production of biochar and carbon nanomaterial via a two-stage thermal-catalytic process. In the first stage, sewage sludge underwent slow pyrolysis, resulting in a biochar yield of 66% (in weight) at 550 degrees C. The resulting pyrolysis vapor was then introduced into a second reactor, where catalytic chemical vapor deposition (CCVD) took place in the presence of a cobalt catalyst, leading to the production of carbon nanotubes (CNTs). It was found that CNTs with an inner diameter of similar to 3.2 nm and an outer diameter of 20-40 nm can be formed in the second stage reactor at temperatures between 650 degrees C and 950 degrees C with a maximum yield of 30% (in weight) under the employed experimental conditions. The obtained CNTs displayed a multiwall structure, exhibited a lack of crystallinity, and demonstrated a high level of disorder. The research findings also indicate that temperature exerts a significant influence on both the yield and properties of the CNTs synthesized.

关键词： Sewage sludge Pyrolysis CCVD Carbon nanotube Biochar

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Mechanical characteristics of oil palm fiber reinforced thermoplastics as filament for fused deposition modeling(FDM)

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Advances in Manufacturing 2020年第1期8卷 72-81页

作者： mohd Nazri Ahmad Mohammad Khalid Wahid Nurul Ain Maidin mohd Hidayat Ab Rahman mohd Hairizal Osman Izzati Fatin Alis@Elias Faculty of Mechanical and Manufacturing Engineering Technology Universiti Teknikal Malaysia Melaka.Hang Tuah JayaDurian Tunggal 76100MelakaMalaysia Centre for Smart System and Innovative Design Universiti Teknikal Malaysia MelakaHang Tuah JayaDurian Tunggal 76100MelakaMalaysia

Fibers are increasingly in demand for a wide range of polymer composite *** study^purpose was the development of oil palm fiber(OPF)mixed with the thermoplastic material acrylonitrile butadiene styrene(ABS)as a composite filament for fused deposition modeling(FDM).The mechanical properties of this composite filament were then *** is a fiber extracted from empty fruit bunches,which has proved to be an excellent raw material for *** cellulose content of OPF is 43%-65%,and the lignin content is 13%-25%.The composite lilament consists of OPF(5%,mass fraction)in the ABS *** fabrication procedure included alkalinizing,drying,and crushing the OPF to develop the *** OPF/ABS materials were prepared and completely blended to acquire a mix of 250 g of the material for the ***,the FLD25 filament extrusion machine was used to form the OPF/ABS composite into a *** composite filament then was used in an FDM-based 3D printer to print the ***,the printed specimens were tested for mechanical properties such as tensile and flexural *** results show that the presence of OPF had increased the tensile strength and modulus elasticity by approximately 1.9%and 1.05%,***,the flexural strength of the OPF/ABS composite had decreased by 90.6%compared with the virgin ***,the most significant outcome of the OPF/ABS composite was its suitability for printing using the FDM method.

关键词： Natural fibers Oil palm fiber(OPF) Fused deposition modeling(FDM) 3D printer Composite filament

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A Mini Review on Natural Fiber Honeycomb (NFH) Sandwiched Structure Composite: Flexural Perfomance Perspective

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Journal of Materials Science and Chemical Engineering 2021年第5期9卷 1-10页

作者： Nahiyan Al-Azad Evelynda Christy Mojutan mohd. kamal mohd. Shah Advanced Composite Research Group Faculty of Engineering Universiti Malaysia Sabah Malaysia

Natural Fiber Honeycomb (NFH) sandwiched structure composite is a type of composite that uses natural fiber as the reinforcement material and honeycomb structure in the form of a sandwich panel. The demand for commercial use of natural fiber-based composites is increasing in the past few years in many industrial sectors. The increase in popularity of natural fibers is because of their particular properties, price, health benefits, and recyclability. This paper aims to analyze the data and analysis of the past research about NFH sandwiched structure composite in terms of the materials used to make the NFH, the physical and mechanical properties, and their applications. Based on the literature review conducted, there were many types of materials used to make the NFH sandwiched structure composite. Some experimental tests were planned and conducted to analyze the mechanical properties of the NFH and its potential to be used in the desired industries. However, there are not many implementations of NFH composite in the construction industry. This is due to the concern related to the issue of the structural integrity of the NFH composite. From the literature review conducted, most of the research shows a positive analysis of the mechanical properties and the potential of the developed NFH to be used for the targeted industry in the study. Therefore, it can be observed that the material used in this study has a high potential to be used in the construction industry.

关键词： Natural Fiber Honeycomb Flexural Performance Sandwiched Structure Composite

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Development of PCCNN-Based Network Intrusion Detection System for EDGE Computing

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Computers, Materials & Continua 2022年第4期71卷 1769-1788页

作者： mohd Anul Haq mohd Abdul Rahim Khan Talal AL-Harbi Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah 11952Saudi Arabia

Intrusion Detection System(IDS)plays a crucial role in detecting and identifying the DoS and DDoS type of attacks on IoT ***,anomaly-based techniques do not provide acceptable accuracy for efficacious intrusion ***,we found many difficulty levels when applying IDS to IoT devices for identifying attempted *** this background,we designed a solution to detect intrusions using the Convolutional Neural Network(CNN)for Enhanced Data rates for GSM Evolution(EDGE)*** created two separate categories to handle the attack and non-attack events in the *** findings of this study indicate that this approach was significantly *** attempted both multiclass and binary *** the case of binary,we clustered all malicious traffic data in a single ***,we developed 13 layers of Sequential 1-D CNN for IDS detection and assessed them on the public dataset *** Component Analysis(PCA)was implemented to decrease the size of the feature vector based on feature extraction and *** approach proposed in the current investigation obtained accuracies of 99.34%and 99.13%for binary and multiclass classification,respectively,for the NSL-KDD *** experimental outcomes showed that the proposed Principal Component-based Convolution Neural Network(PCCNN)approach achieved greater precision based on deep learning and has potential use in modern intrusion detection for IoT systems.

关键词： IDS edge computing machine learning NSL-KDD IoT

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MELex: The Construction of Malay-English Sentiment Lexicon

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Computers, Materials & Continua 2022年第4期71卷 1789-1805页

作者： Nurul Husna Mahadzir mohd Faizal Omar mohd Nasrun mohd Nawi Anas ASalameh Kasmaruddin Che Hussin Abid Sohail Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA(UiTM)Kedah08400MerbokKedahMalaysia Department of Decision Sciences School of Quantitative SciencesUniversiti Utara Malaysia06010KedahMalaysia Disaster Management of Institute School of Technology Management and LogisticUniversiti Utara Malaysia06010KedahMalaysia Department of Management Information System College of Business AdministrationPrince Sattam Bin Abdulaziz University165Al-KharjSaudi Arabia Faculty of Entrepreneurship and Business Universiti Malaysia KelantanMalaysia Department of Computer Science COMSATS University IslamabadLahorePakistan

Currently,the sentiment analysis research in the Malaysian context lacks in terms of the availability of the sentiment ***,this issue is addressed in this paper in order to enhance the accuracy of sentiment *** this study,a new lexicon for sentiment analysis is constructed.A detailed review of existing approaches has been conducted,and a new bilingual sentiment lexicon known as MELex(Malay-English Lexicon)has been *** MELex involves three activities:seed words selection,polarity assignment,and synonym *** approach differs from previous works in that MELex can analyze text for the two most widely used languages in Malaysia,Malay,and English,with the accuracy achieved,is 90%.It is evaluated based on the experimentation and case study approaches where the affordable housing projects in Malaysia are selected as case *** finding has given an implication on the ability of MELex to analyze public sentiments in the Malaysian *** novel aspects of this paper are ***,it introduces the new technique in assigning the polarity score,and second,it improves the performance over the classification of mixed language content.

关键词： Machine learning data sciences artificial intelligence opinion mining sentiment analysis sentiment lexicon lexicon-based bilingual lexicon

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Social Media and Stock Market Prediction: A Big Data Approach

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Computers, Materials & Continua 2021年第5期67卷 2569-2583页

作者： Mazhar Javed Awan mohd Shafry mohd Rahim Haitham Nobanee Ashna Munawar Awais Yasin Azlan mohd Zain Azlanmz School of Computing Faculty of EngineeringUniversity Teknologi MalaysiaJohorMalaysia Department of Software Engineering University of Management and TechnologyLahorePakistan Collage of Business Abu Dhabi UniversityAbu DhabiUnited Arab Emirates Oxford Center for Islamic Studies The University of OxfordOxfordUK The University of Liverpool Management School The University of LiverpoolLiverpoolUK Department of Computer Engineering National University of TechnologyIslamabadPakistan School of Computing UTM Big Data CentreUniversiti Teknologi MalaysiaJohorMalaysia

Big data is the collection of large datasets from traditional and digital sources to identify trends and *** quantity and variety of computer data are growing exponentially for many *** example,retailers are building vast databases of customer sales *** are working on logistics financial services,and public social media are sharing a vast quantity of sentiments related to sales price and *** of big data include volume and variety in both structured and unstructured *** this paper,we implemented several machine learning models through Spark MLlib using PySpark,which is scalable,fast,easily integrated with other tools,and has better performance than the traditional *** studied the stocks of 10 top companies,whose data include historical stock prices,with MLlib models such as linear regression,generalized linear regression,random forest,and decision *** implemented naive Bayes and logistic regression classification *** results suggest that linear regression,random forest,and generalized linear regression provide an accuracy of 80%-98%.The experimental results of the decision tree did not well predict share price movements in the stock market.

关键词： Big data analytics artificial intelligence machine learning stock market social media business analytics

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