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A Hybrid Deep Learning-Based Unsupervised Anomaly Detection in High Dimensional Data

Computers, Materials & Continua 2022年第3期70卷 5363-5381页

作者： Amgad Muneer Shakirah mohd Taib Suliman Mohamed Fati abdullateef O.Balogun Izzatdin abdul Aziz Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32160Malaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Information Systems Department Prince Sultan UniversityRiyadh11586Saudi Arabia

Anomaly detection in high dimensional data is a critical research issue with serious implication in the real-world *** issues in this field still unsolved,so several modern anomaly detection methods struggle to maintain adequate accuracy due to the highly descriptive nature of big *** a phenomenon is referred to as the“curse of dimensionality”that affects traditional techniques in terms of both accuracy and ***,this research proposed a hybrid model based on Deep Autoencoder Neural Network(DANN)with five layers to reduce the difference between the input and *** proposed model was applied to a real-world gas turbine(GT)dataset that contains 87620 columns and 56 *** the experiment,two issues have been investigated and solved to enhance the *** first is the dataset class imbalance,which solved using SMOTE *** second issue is the poor performance,which can be solved using one of the optimization *** optimization algorithms have been investigated and tested,including stochastic gradient descent(SGD),RMSprop,Adam and ***,Adamax optimization algorithm showed the best results when employed to train *** experimental results show that our proposed model can detect the anomalies by efficiently reducing the high dimensionality of dataset with accuracy of 99.40%,F1-score of 0.9649,Area Under the Curve(AUC)rate of 0.9649,and a minimal loss function during the hybrid model training.

关键词： Anomaly detection outlier detection unsupervised learning autoencoder deep learning hybrid model

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An Eigenspace Method for Detecting Space-Time Disease Clusters with Unknown Population-Data

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Computers, Materials & Continua 2022年第1期70卷 1945-1953页

作者： Sami Ullah Nurul Hidayah mohd Nor Hanita Daud Nooraini Zainuddin Hadi Fanaee-T Alamgir Khalil Department of Fundamental&Applied Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Center for Applied Intelligent Systems Research(CAISR) Halmstad UniversityHalmstadSE-30118Sweden Department of Statistics University of PeshawarPakistan

Space-time disease cluster detection assists in conducting disease surveillance and implementing control *** state-of-the-art method for this kind of problem is the Space-time Scan Statistics(SaTScan)which has limitations for non-traditional/non-clinical data sources due to its parametric model assumptions such as Poisson orGaussian *** this problem,an Eigenspace-based method called Multi-EigenSpot has recently been proposed as a nonparametric ***,it is based on the population counts data which are not always available in the least developed *** addition,the population counts are difficult to approximate for some surveillance data such as emergency department visits and over-the-counter drug sales,where the catchment area for each hospital/pharmacy is *** extend the population-based Multi-EigenSpot method to approximate the potential disease clusters from the observed/reported disease counts only with no need for the population *** proposed adaptation uses an estimator of expected disease count that does not depend on the population *** proposed method was evaluated on the real-world dataset and the results were compared with the population-based methods:Multi-EigenSpot and *** result shows that the proposed adaptation is effective in approximating the important outputs of the population-based methods.

关键词： Space-time disease clusters Eigenspace method nontraditional data sources nonparametric methods

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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

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Depression,Anxiety,and Behavioural Changes during the COVID-19 Pandemic among Medical and Nursing Students

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International Journal of Mental Health Promotion 2022年第5期24卷 749-757页

作者： Siti Roshaidai mohd Arifin Siti Mardhiah Saiful Azmi Khadijah Hasanah Abang abdullah Nurul Ain Hidayah Abas Rohayah Husain Edre MAidid Karimah Hanim abd Aziz Ramli Musa Fathima Begum Syed Mohideen Asma Perveen Khairi Che Mat Izazol Idris Department of Special Care Nursing Kulliyyah of NursingInternational Islamic University MalaysiaIndera Mahkota CampusKuantan25200Malaysia Thomson Hospital Kota Damansara Petaling Jaya47810Malaysia Faculty of Medicine and Health Sciences Universiti Sains Islam MalaysiaBandar Baru Nilai71800Malaysia Department of Psychology and Counselling Faculty of Human DevelopmentUniversiti Pendidikan Sultan IdrisTanjong Malim35900Malaysia Psychological Medicine Unit Faculty of MedicineUniversiti Sultan Zainal AbidinKuala Terengganu21300Malaysia Department of Community Medicine Kulliyyah of MedicineInternational Islamic University MalaysiaIndera Mahkota CampusKuantan25200Malaysia Department of Psychiatry Kulliyyah of MedicineInternational Islamic University MalaysiaIndera Mahkota CampusKuantan25200Malaysia Department of Educational Studies Faculty of Human DevelopmentUniversiti Pendidikan Sultan IdrisTanjong Malim35900Malaysia

During the COVID-19 pandemic,medical and nursing students are faced with various challenges such as the need to attend online classes and juggling clinical postings under the new *** study aimed to assess the asso-ciation between depression,anxiety,and behavioural changes among medical and nursing students during the COVID-19 *** online self-administered questionnaire was distributed between March 2021 and July 2021 to 292 undergraduates medical and nursing students in a higher education institute on the East Coast of *** questionnaires consisted of four parts:sociodemographic data,the Generalised Anxiety Disor-der-7,the Patient Health Questionnaire-9,and questions related to behaviours during the COVID-19 *** study found that 23.6%and 33.6%of the students experienced anxiety and depression respectively,possibly caused by the COVID-19 *** was associated with a high level of behavioural changes during the pandemic with a total of 87%of the students showing behavioural *** interventions such as online counselling and consultation should be implemented by the university to reduce the prevalence of depres-sion and anxiety resulting from the COVID-19 pandemic among medical and nursing students.

关键词： Nursing students medical students depression anxiety behavioural changes pandemic COVID-19

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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

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A Triethyleneglycol C60 Mono-adduct Derivative for Efficient Electron Transport in Inverted Perovskite Solar Cells

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Chinese Journal of Chemistry 2023年第4期41卷 431-442页

作者： Azhar Fakharuddin Konstantina-Kalliopi Armadorou Leandros P.Zorba Marinos Tountas Tobias Seewald Anastasia Soultati Polychronis Tsipas Emilia R.Schütz Nikolaos Tzoganakis Stylianos Panagiotakis Konstantina Yannakopoulou Athanasios Dimoulas Vassilis Psycharis Emmanuel Kymakis abd Rashid bin mohd Yusoff Konstantinos Aidinis Lukas Schmidt-Mende Georgios C.Vougioukalakis Mohammad Khaja Nazeeruddin Maria Vasilopoulou Department of Physics University of Konstanz78457 KonstanzGermany Institute of Nanoscience and Nanotechnology National Center for Scientific Research DemokritosAgia Paraskevi15341 AthensGreece Department of Chemistry National and Kapodistrian University of Athens15771 AthensGreece Department of Electrical&Computer Engineering Hellenic Mediterranean UniversityEstavromenosHeraklionGR-71410 CreteGreece Department of Chemical Engineering Pohang University of Science and Technology(POSTECH)PohangGyeongbuk37673 Republic of Korea Department of Electrical and Computer Engineering Ajman UniversityP.O.Box 346AjmanUnited Arab Emirates Center of Medical and Bio-allied Health Sciences Research AjmanUnited Arab Emirates Institute of Chemical Sciences and Engineering École Polytechnique Fédérale de Lausanne(EPFL)Rue de l'Industrie 17CH-1951 SionSwitzerland

Inverted perovskite solar cells(PSCs)have attracted increasing attention in recent years owing to their low-temperature fabrication proces ***,they suffer from a limited number of electron transport materials available with[6,6]-phenyl C61 butyric acid methyl ester(PCBM)to be the most widely studied based on its appropriate energy levels and high electron *** low relative permittivity and aggregation tendency upon illumination of PCBM,however,compromises the solar cell efficiency whereas its modest hydrophobicity negatively impacts on the device *** electron transport materials with desired properties and appropriate degree of hydrophobicity are thus desirable for further developments in inverted ***,we synthesize a triethyleneglycol C60 mono-adduct derivative(termed as EPF03)and test it as a novel electron transport material to replace PCBM in inverted PSCs based on a quadruple cation(RbCsMAFA)*** also compare this derivative with two novel fullerenes decorated with two(EPF01)or one dodecyl(EPF02)long side *** latter two fail to perform efficiently in inverted PSCs whereas the former enabled a power conversion efficiency of 18.43%,which represents a 9%improvement compared to the reference device using PCBM(17.21%).The enhanced performance mainly stems from improved electron extraction and reduced recombination enabled by the insertion of the large relative permittivity amongst other properties of ***,our results indicate that triethylene glycol side chains can also passivate perovskite trap states,suppress ion migration and enhance photostability and long-term stability of EPF03 based perovskite solar cells.

关键词： Electron transport layer Defect passivation Biexponential trap flling Charge transfer Fullerenes

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Antibacterial mechanism with consequent cytotoxicity of different reinforcements in biodegradable magnesium and zinc alloys: A review

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Journal of Magnesium and Alloys 2023年第9期11卷 3038-3058页

作者： Chowdhury Ahmed Shahed Faiz Ahmad Ebru Günister Farhana mohd Foudzi Saad Ali Khurshid Malik Wan Sharuzi Wan Harun Department of Mechanical Engineering Universiti Teknologi PETRONAS(UTP)32610Seri IskandarPerakMalaysia Faculty of Engineering and Natural Sciences Department of Mechanical EngineeringIstanbul Health and Technology UniversityIstanbulTurkey Department of Mechanical and Manufacturing Engineering Faculty of Engineering and Built EnvironmentUniversiti Kebangsaan Malaysia43600 UKM BangiSelangorMalaysia Faculty of Mechanical&Automotive Engineering Technology Universiti Malaysia Pahang26600 PekanPahangMalaysia

Benefits achieved by the biodegradable magnesium(Mg) and zinc(Zn) implants could be suppressed due to the invasion of infectious microbial, common bacteria, and fungi. Postoperative medications and the antibacterial properties of pure Mg and Zn are insufficient against biofilm and antibiotic-resistant bacteria, bringing osteomyelitis, necrosis, and even death. This study evaluates the antibacterial performance of biodegradable Mg and Zn alloys of different reinforcements, including silver(Ag), copper(Cu), lithium(Li), and gallium(Ga). Copper ions(Cu^(2+)) can eradicate biofilms and antibiotic-resistant bacteria by extracting electrons from the cellular structure. Silver ion(Ag^(+)) kills bacteria by creating bonds with the thiol group. Gallium ion(Ga^(3+)) inhibits ferric ion(Fe^(3+)) absorption, leading to nutrient deficiency and bacterial death. Nanoparticles and reactive oxygen species(ROS) can penetrate bacteria cell walls directly, develop bonds with receptors, and damage nucleotides. Antibacterial action depends on the alkali nature of metal ions and their degradation rate, which often causes cytotoxicity in living cells. Therefore, this review emphasizes the insight into degradation rate, antibacterial mechanism, and their consequent cytotoxicity and observes the correlation between antibacterial performance and oxidation number of metal ions.

关键词： Biodegradable materials Biomedical implants Antibacterial mechanism Cytotoxicity Reactive oxygen species

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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)

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Long-Term Electricity Demand Forecasting for Malaysia Using Artificial Neural Networks in the Presence of Input and Model Uncertainties

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Energy Engineering 2021年第3期118卷 715-725页

作者： Vin Cent Tai Yong Chai Tan Nor Faiza abd Rahman Hui Xin Che Chee Ming Chia Lip Huat Saw mohd Fozi Ali Centre for Modelling and Simulation Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling JayaMalaysia Mechanical Engineering Department Faculty of EngineeringBuilt Environment and Information TechnologySEGi UniversityPetaling JayaMalaysia Lee Kong Chian Faculty of Engineering and Science UTARKajangMalaysia Faculty of Civil Engineering Universiti Teknologi MARAShah AlamMalaysia

Electricity demand is also known as load in electric power *** article presents a Long-Term Load Forecasting(LTLF)approach for *** Artificial Neural Network(ANN)of 5-layer Multi-Layered Perceptron(MLP)structure has been designed and tested for this *** of input variables and ANN model were introduced to obtain the prediction for years 2022 to *** correlation was used to examine the input variables for model *** analysis indicates that Primary Energy Supply(PES),population,Gross Domestic Product(GDP)and temperature are strongly *** forecast results by the proposed method(henceforth referred to as UQ-SNN)were compared with the results obtained by a conventional Seasonal Auto-Regressive Integrated Moving Average(SARIMA)*** R^(2)scores for UQ-SNN and SARIMA are 0.9994 and 0.9787,respectively,indicating that UQ-SNN is more accurate in capturing the non-linearity and the underlying relationships between the input and output *** proposed method can be easily extended to include other input variables to increase the model complexity and is suitable for *** the available input data,UQ-SNN predicts Malaysia will consume 207.22 TWh of electricity,with standard deviation(SD)of 6.10 TWh by 2030.

关键词： Long-term load forecasting SARIMA artificial neural networks uncertainty analysis Malaysia

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Design and Development of Mechatronic Application in Agricultural Irrigation Device

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World Journal of Engineering and Technology 2016年第3期4卷 450-459页

作者： mohd Hudzari Razali Syazili Roslan abdul Ssomad mohd abd Halim Hayan Basit Faculty of Bioresources & Food Industry Universiti Sultan Zainal Abidin Tembila Campus Besut Terengganu Darul Iman Malaysia

In order to help the small-scale farmer, an automatic irrigation control system was proposed. This system will provide an irrigation system that will ease the burden of the citizen to take care of the plant. This system will run automatically by referring to the time set by the user. As the name itself is a water control system, this system will only start irrigating when the time set triggered the water control level for the plant to grow healthily. It will automatically stop when the timer is off (1 hour). The brain of the system is the PLC (Programmable Logic Controller). This is the place where all the activities are done. The irrigation will be provided by a pump that is also connected to the microcontroller. The pump will be activated until the timer has reached its time set. This system will continue running until the user presses the OFF button.

关键词： Irrigation System Water Control System PLC (Programmable Logic Controller)

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