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International Journal of Sediment Research 2019年第2期34卷 95-107页

作者： mohd Yawar Ali Khan Fuqiang Tian Faisal hasan Govind Joseph Chakrapani Institute of Hydrology and Water Resources Department of Hydraulic EngineeringSchool of Civil EngineeringTsinghua University Department of Earth Sciences Indian Institute of Technology Roorkee Department of Mechanical Engineering Aligarh Muslim University

The relation between the water discharge(Q) and suspended sediment concentration(SSC)of the River Ramganga at Bareilly,Uttar Pradesh,in the Himalayas,has been modeled using Artificial Neural Networks(ANNs).The current study validates the practical capability and usefulness of this tool for simulating complex nonlinear,real world,river system processes in the Himalayan *** modeling approach is based on the time series data collected from January to December(2008-2010)for Q and *** ANNs(T1-T3)with different network configurations have been developed and trained using the Levenberg Marquardt Back Propagation Algorithm in the Matlab *** were optimized using the enumeration technique,and,finally,the best network is used to predict the SSC values for the year *** values thus obtained through the ANN model are compared with the observed values of *** coefficient of determination(R2),for the optimal network was found to be *** study not only provides insight into ANN modeling in the Himalayan river scenario,but it also focuses on the importance of understanding a river basin and the factors that affect the SSC,before attempting to model *** the temporal variations in the study area,it is possible to model and successfully predict the SSC values with very simplistic ANN models.

关键词： ANN Water discharge Suspended sediment concentration prediction Ramganga River Himalayas

Rheological and MECHANICAL Performance of Asphalt Binders and Mixtures Incorporating CaCO3 and LLDPE

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Organic Polymer Material Research 2019年第1期1卷 10-21页

作者： mohd.rosli mohd.hasan Zhanping You mohd Khairul Idham mohd Satar Muhammad Naqiuddin mohd Warid Nurul Hidayah mohd Kamaruddin Sharvin Poovaneshvaran School of Civil Engineering Universiti Sains MalaysiaEngineering Campus14300 Nibong TebalPulau PinangMalaysia Department of Civil and Environmental Engineering Michigan Technological University1400 Townsend Drive HoughtonMI 49931USA Department of Geotechnics and Transportation Faculty of Civil EngineeringUniversiti Teknologi Malaysia81310 Johor BahruJohorMalaysia Faculty of Civil and Environmental Engineering Universiti Tun Hussein Onn Malaysia86400 Parit RajaBatu PahatJohorMalaysia.

This study was conducted to assess the performance of modified asphalt binders and engineering properties of mixtures prepared with incorporation 3 vol%and 6 vol%of calcium carbonate(CaCO3),linear low-density polyethylene(LLDPE),and combinations of CaCO3 and *** rheological properties of control and modified asphalt binders were evaluated using a series of testing such as rotational viscometer(RV),multiple stress creep recovery(MSCR)and bending beam rheometer(BBR)***,four-point beam fatigue test,the dynamic modulus(E*)test and tensile strength ratio(TSR)test were conducted to assess the engineering properties of asphalt *** on the findings,the RV and MSCR test result shows that all modified asphalt binders have improved performance in comparison to the neat asphalt binders in terms of higher viscosity and improved permanent deformation resistance.A higher amount of CaCO3 and LLDPE have led modified asphalt binders to better recovery percentage,except the asphalt binders modified using a combination of CaCO3 and ***,the inclusion of LLDPE into asphalt binder has lowered the thermal cracking *** incorporation of CaCO3 in asphalt mixtures was found beneficial,especially in improving the ability to resist fatigue cracking of asphalt *** contrast,asphalt mixtures show better moisture sensitivity through the addition of *** addition of LLDPE has significantly enhanced the indirect tensile strength values and tensile strength ratio of asphalt mixtures.

关键词： Asphalt modification Binder rheology Mineral filler Mixture performance Plastic

Generating Type 2 Trapezoidal Fuzzy Membership Function Using Genetic Tuning

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Computers, Materials & Continua 2022年第4期71卷 717-734页

作者： Siti Hajar Khairuddin mohd Hilmi hasan Emilia Akashah P.Akhir Manzoor Ahmed Hashmani Centre for Research in Data Science Department of Computer and Information SciencesUniversiti Teknologi PETRONASPerakMalaysia

Fuzzy inference system(FIS)is a process of fuzzy logic reasoning to produce the output based on fuzzified *** system starts with identifying input from data,applying the fuzziness to input using membership functions(MF),generating fuzzy rules for the fuzzy sets and obtaining the *** are several types of input MFs which can be introduced in FIS,commonly chosen based on the type of real data,sensitivity of certain rule implied and computational *** paper focuses on the construction of interval type 2(IT2)trapezoidal shape MF from fuzzy C Means(FCM)that is used for fuzzification process of mamdani *** the process,upper MF(UMF)and lower MF(LMF)of the MF need to be identified to get the range of the footprint of uncertainty(FOU).This paper proposes Genetic tuning process,which is a part of genetic algorithm(GA),to adjust parameters in order to improve the behavior of existing system,especially to enhance the accuracy of the system *** novel process is a hybrid approach which produces Genetic Fuzzy System(GFS)that helps to enhance fuzzy classification problems and *** approach provides a new method for the construction and tuning process of the IT2 MF,based on the FCM *** result is compared to Gaussian shape IT2 MF and trapezoid IT2 MF generated by the classic GA *** is shown that the proposed approach is able to outperform the mentioned benchmarked *** work implies a wider range of IT2 MF types,constructed based on FCM outcomes,and an optimum generation of the FOU so that it can be implemented in practical applications such as prediction,analytics and rule-based solutions.

关键词： Fuzzy inference system membership function genetic tuning lateral adjustment trapezoidal MF fuzzy C means

Experimental Evaluation of Trilateration-Based Outdoor Localizationwith LoRaWAN

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Computers, Materials & Continua 2023年第4期75卷 845-862页

作者： Saeed Ahmed Magsi mohd Haris Bin Md Khir Illani Bt mohd Nawi Muath Al hasan Zaka Ullah Fasih Ullah Khan Abdul Saboor Muhammad Aadil Siddiqui Department of Electrical and Electronic Engineering Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Balochistan University of Information Technology Engineeringand Management SciencesQuetta37500Pakistan College of Engineering Al Ain UniversityAl Ain64141United Arab Emirates Department of Technology The University of LahoreLahore54000Pakistan High Performance Cloud Computing Centre(HPC3) Universiti Teknologi PETRONASSeri Iskandar32610Malaysia

Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly growing number of IoT devices. LoRaWAN is well suited tosupport localization applications in IoTs due to its low power consumptionand long range. Multiple approaches have been proposed to solve the localizationproblem using LoRaWAN. The Expected Signal Power (ESP) basedtrilateration algorithm has the significant potential for localization becauseESP can identify the signal’s energy below the noise floor with no additionalhardware requirements and ease of implementation. This research articleoffers the technical evaluation of the trilateration technique, its efficiency,and its limitations for the localization using LoRa ESP in a large outdoorpopulated campus environment. Additionally, experimental evaluations areconducted to determine the effects of frequency hopping, outlier removal, andincreasing the number of gateways on localization accuracy. Results obtainedfrom the experiment show the importance of calculating the path loss exponentfor every frequency to circumvent the high localization error because ofthe frequency hopping, thus improving the localization performance withoutthe need of using only a single frequency.

关键词： LoRaWAN localization expected signal power(ESP) path loss exponent(PLE) trilateration

A Real-Time Automatic Translation of Text to Sign Language

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Computers, Materials & Continua 2022年第2期70卷 2471-2488页

作者： Muhammad Sanaullah Babar Ahmad Muhammad Kashif Tauqeer Safdar Mehdi Hassan mohd Hilmi hasan Norshakirah Aziz Department of Computer Science Bahauddin Zakariya UniversityMultan60000Pakistan Department of Computer Science Air UniversityMultan60000Pakistan Department of Computer Science Air UniversityIslamabad44000Pakistan Centre for Research in Data Science Department of Computer and Information SciencesUniversitiTeknologi PETRONASSeri Iskandar32610PerakMalaysia

Communication is a basic need of every human being;by this,they can learn,express their feelings and exchange their ideas,but deaf people cannot listen and *** communication,they use various hands gestures,also known as Sign Language(SL),which they learn from special *** normal people have not taken SL classes;therefore,they are unable to perform signs of daily routine sentences(e.g.,what are the specifications of this mobile phone?).A technological solution can facilitate in overcoming this communication gap by which normal people can communicate with deaf *** paper presents an architecture for an application named Sign4PSL that translates the sentences to Pakistan Sign Language(PSL)for deaf people with visual representation using virtual signing *** research aims to develop a generic independent application that is lightweight and reusable on any platform,including web and mobile,with an ability to perform offline text *** Sign4PSL relies on a knowledge base that stores both corpus of PSL Words and their coded form in the notation ***4PSL takes English language text as an input,performs the translation to PSL through sign language notation and displays gestures to the user using virtual *** system is tested on deaf students at a special *** results have shown that the students were able to understand the story presented to them appropriately.

关键词： Sign language sign markup language deaf communication hamburg notations machine translation

Sign Language to Sentence Formation:A Real Time Solution for Deaf People

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Computers, Materials & Continua 2022年第8期72卷 2501-2519页

作者： Muhammad Sanaullah Muhammad Kashif Babar Ahmad Tauqeer Safdar Mehdi Hassan mohd Hilmi hasan Amir Haider Bahauddin Zakariya University Department of Computer ScienceMultan60000Pakistan Air University Department of Computer ScienceMultan60000Pakistan Air University Department of Computer ScienceIslamabad44000Pakistan Centre for Research in Data Science Department of Computer and Information SciencesUniversiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

Communication is a basic need of every human being to exchange thoughts and interact with the *** peoples usually confab through different spoken languages,whereas deaf people cannot do ***,the Sign Language(SL)is the communication medium of such people for their conversation and interaction with the *** SL is expressed in terms of specific gesture for every word and a gesture is consisted in a sequence of performed *** acute people normally observe these signs to understand the difference between single and multiple gestures for singular and plural words *** signs for singular words such as I,eat,drink,home are unalike the plural words as school,cars,players.A special training is required to gain the sufficient knowledge and practice so that people can differentiate and understand every gesture/sign *** researches have been performed to articulate the computer-based solution to understand the single gesture with the help of a single hand *** complete understanding of such communications are possible only with the help of this differentiation of gestures in computer-based solution of SL to cope with the real world ***,there is still a demand for specific environment to automate such a communication solution to interact with such type of special *** research focuses on facilitating the deaf community by capturing the gestures in video format and then mapping and differentiating as single or multiple gestures used in ***,these are converted into the respective words/sentences within a reasonable *** provide a real time solution for the deaf people to communicate and interact with the society.

关键词： Sign language machine learning conventional neural network image processing deaf community

QT AG-Modules whose h-Pure-S-High Submodules Have Closure

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Journal of Mathematical Research with Applications 2024年第1期44卷 18-24页

作者： mohd Noman ALI Vinit Kumar SHARMA Ayazul hasan Department of Mathematics Shri Venkateshwara University College of Applied Industrial Technology Jazan University

A right module M over an associative ring R with unity is a QTAG-module if every finitely generated submodule of any homomorphic image of M is a direct sum of uniserial *** article considers the closure of h-pure-S-high submodules of ***,we determine all submodules S of a QTAG-module M such that each closure of h-pure-S-high submodule of M is h-pure-■-high in■.A few results of this theme give a comparison of some elementary properties of h-pure-S-high and S-high submodules.

关键词： QTAG-modules closures h-pure-S-high submodules

Evaluation of agro-based waste substrates for micropropagule formation in biocontrol fungi,Trichoderma asperellum and ***

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Studies in Fungi 2020年第1期5卷 94-102页

作者： hasan ZAE mohd Zainudin NAI Aris A Ibrahim MH Yusof MT Department of Biology Faculty of ScienceUniversiti Putra Malaysia43400 Serdang SelangorMalaysia Department of Botany Faculty of ScienceOmar Al Mukhtar UniversityAl BaydaLibya Department of Microbiology Faculty of Biotechnology and Biomolecular SciencesUniversiti Putra Malaysia43400 SerdangSelangorMalaysia

Trichoderma species have shown efficiency on biocontrol of *** commercial application,it must be propagated in mass scale using a cost-effective *** an alternative way to effectively deliver biocontrol fungi inoculum to the field;seven agro-based wastes including rice bran,biochar,empty fruit bunches,coconut fibre,compost,topsoil and mixed soil were used in this study for evaluating mass multiplication of Trichoderma *** on the evaluation of colony-forming units(cfu)among the agro-based waste media used,coconut fibre is the most suitable in promoting the sporulation of Trichoderma asperellum and *** asperellum C1667 showed the higher micropropagule count through incubation period compared to *** *** 120 days on the agro-based waste media,*** C1667 and *** C1675 produced the highest(7.717×10^(5)cfu/g and 6.836±13.79×10^(5)cfu/g)coconut fibres,***,the mixed soil appeared with the lowest *** fibres were shown as a great biocomposting medium for both Trichoderma *** of the present study are valuable for disease management using agro-based wastes as a cost-effective medium for biocontrol agents like Trichoderma species.

关键词： Biocontrol agent mass multiplication shelf life

Windows 10’s Browser Forensic Analysis for Tracing P2P Networks’Anonymous Attacks

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Computers, Materials & Continua 2022年第7期72卷 1251-1273页

作者： Saima Kauser Tauqeer Safdar Malik mohd Hilmi hasan Emelia Akashah P.Akhir Syed Muhammad Husnain Kazmi Air University Department of Computer ScienceMultan60000Pakistan Centre for Research in Data Science Department of Computer and Information SciencesUniversiti Teknologi PETRONASSeri IskandarPerak32610Malaysia IAR Systems MästaStockholmStation Gatan 2319542Sweden

A web browser is the most basic tool for accessing the internet from any of the machines/***,data breaches have been reported frequently from users who are concerned about their personal information,as well as threats from criminal *** loss of data and information to an innocent user comes under the jurisdiction of *** kinds of cyber-attacks are far more dangerous when it comes to the many types of devices employed in an internet of things(IoT)*** surveillance of IoT devices and forensic tools are required to overcome the issues pertaining to secure data and *** to peer(P2P)applications have been utilized for criminal operations on the ***,it is a challenge for a forensic investigator to perform forensic analysis of the evolving hardware and software platforms for *** identity concealment and privacy protection,the Onion Router(Tor)and Chrome with the Invisible Internet Project(I2P)as the foundation browser are often *** is required to determine whether Tor is truly anonymous and private as they *** people,on the other hand,utilize the Tor browser for evil *** and techniques are available for the collection of artifacts,identifying problem areas,further processing and analysis of data on the computer and *** research tried to explore a few tools for the tracing of I2P activities over computer on windows 10 that reflects IoT *** to the results of this research,it leaves an excessive amount of important digital evidence on the operating system that can be exploited to attack the information of *** research is based on windows operating system and does not support other operating systems.

关键词： Cyber-security peer-to-peer invisible internet project(I2P) forensic analysis the onion router(Tor)

Machine Learning and Synthetic Minority Oversampling Techniques for Imbalanced Data: Improving Machine Failure Prediction

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Computers, Materials & Continua 2023年第6期75卷 4821-4841页

作者： Yap Bee Wah Azlan Ismail Nur Niswah Naslina Azid Jafreezal Jaafar Izzatdin Abdul Aziz mohd Hilmi hasan Jasni Mohamad Zain Institute for Big Data Analytics and Artificial Intelligence(IBDAAI) Kompleks Al-KhawarizmiUniversiti Teknologi MARA(UiTM)Shah Alam40450SelangorMalaysia School of Computing Sciences College of ComputingInformatics and MediaUniversiti Teknologi MARA(UiTM)40450Shah AlamSelangorMalaysia Mathematical Sciences Studies College of ComputingInformatics and MediaUniversiti Teknologi MARA(UiTM)Kelantan BranchMachang CampusBukit Ilmu18500MachangKelantan Darul NaimMalaysia Centre for Research in Data Science(CeRDaS) Department of Computer and Information Sciences(DCIS)Universiti Teknologi PETRONAS(UTP)Seri Iskandar32610PerakMalaysia UNITAR International University Jalan SS6/3SS6Petaling Jaya47301SelangorMalaysia

Prediction of machine failure is challenging as the dataset is often imbalanced with a low failure *** common approach to han-dle classification involving imbalanced data is to balance the data using a sampling approach such as random undersampling,random oversampling,or Synthetic Minority Oversampling Technique(SMOTE)*** paper compared the classification performance of three popular classifiers(Logistic Regression,Gaussian Naïve Bayes,and Support Vector Machine)in predicting machine failure in the Oil and Gas *** original machine failure dataset consists of 20,473 hourly data and is imbalanced with 19945(97%)‘non-failure’and 528(3%)‘failure data’.The three independent variables to predict machine failure were pressure indicator,flow indicator,and level *** accuracy of the classifiers is very high and close to 100%,but the sensitivity of all classifiers using the original dataset was close to *** performance of the three classifiers was then evaluated for data with different imbalance rates(10%to 50%)generated from the original data using SMOTE,SMOTE-Support Vector Machine(SMOTE-SVM)and SMOTE-Edited Nearest Neighbour(SMOTE-ENN).The classifiers were evaluated based on improvement in sensitivity and *** showed that the sensitivity of all classifiers increases as the imbalance rate *** with radial basis function(RBF)kernel has the highest sensitivity when data is balanced(50:50)using SMOTE(Sensitivitytest=0.5686,Ftest=0.6927)compared to Naïve Bayes(Sensitivitytest=0.4033,Ftest=0.6218)and Logistic Regression(Sensitivitytest=0.4194,Ftest=0.621).Overall,the Gaussian Naïve Bayes model consistently improves sensitivity and F-measure as the imbalance ratio increases,but the sensitivity is below 50%.The classifiers performed better when data was balanced using SMOTE-SVM compared to SMOTE and SMOTE-ENN.

关键词： Machine failure machine learning imbalanced data SMOTE classification