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Epithelial Layer Estimation Using Curvatures and Textural Features for Dysplastic Tissue Detection

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Computers, Materials & Continua 2021年第4期67卷 761-777页

作者： Afzan Adam abdul hadi abd rahman Nor Samsiah Sani Zaid abdi Alkareem Alyessari Nur Jumaadzan Zaleha Mamat Basela Hasan Faculty of Information Science and Technology Center for Artificial Intelligence TechnologyUniversiti Kebangsaan MalaysiaBangiSelangor43300Malaysia Faculty of Science and Technology School of Mathematical SciencesUniversiti Kebangsaan MalaysiaBangiSelangor43300Malaysia Department of Information Technology and Computing Faculty of Computer StudiesArab Open UniversityAmmanJordan

Boundary effect in digital pathology is a phenomenon where the tissue shapes of biopsy samples get distorted during the sampling *** morphological pattern of an epithelial layer is greatly ***,the shape deformation model can normalise the distortions,but it needs a 2D *** theory,on the other hand,is not yet tested on digital pathology ***,this work proposed a curvature detection to reduce the boundary effects and estimates the epithelial *** boundary effect on the tissue surfaces is normalised using the frequency of a curve deviates from being a straight *** epithelial layer’s depth is estimated from the tissue edges and the connected nucleolus ***,the textural and spatial features along the estimated layer are used for dysplastic tissue *** proposed method achieved better performance compared to the whole tissue regions in terms of detecting dysplastic *** result shows a leap of kappa points from fair to a substantial agreement with the expert’s ground truth *** improved results demonstrate that curvatures have been effective in reducing the boundary effects on the epithelial layer of ***,quantifying and classifying the morphological patterns for dysplasia can be *** textural and spatial features on the detected epithelial layer can capture the changes in tissue.

关键词： Digital pathology grading dysplasia tissue boundary effect

TelG Mote: A Green Wireless Sensor Node Platform for Smart Home and Ambient Assisted Living

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Journal of Electronic Science and Technology 2016年第3期14卷 211-219页

作者： Mohd Rozaini Bin abd Rahim Rozeha A.Rashid Norsheila Fisal Zubair Khalid abdul hadi Fikri abd Hamid Universiti Teknologi Malaysia

The wireless sensor network （WSN） consists of sensor nodes that interact with each other to collectively monitor environmental or physical conditions at different locations for the intended users. One of its potential deployments is in the form of smart home and ambient assisted living （SHAAL）to measure patients or elderly physiological signals, control home appliances, and monitor home. This paper focuses on the development of a wireless sensor node platform for SHAAL application over WSN which complies with the IEEE 802.15.4 standard and operates in 2.4 GHz ISM （industrial, scientific, and medical） band. The initial stage of SHAAL application development is the design of the wireless sensor node named TelG mote. The main features of TelG mote contributing to the green communications include low power consumption, wearable, flexible, user-friendly, and small sizes. It is then embedded with a self-built operating system named WiseOS to support customized operation. The node can achieve a packet reception rate （PRR） above 80% for a distance of up to 8 m. The designed TelG mote is also comparable with the existing wireless sensor nodes available in the market.

关键词： Smart home and ambient assisted living wireless sensor network wireless sensor node.

Anomaly Detection in ICS Datasets with Machine Learning Algorithms

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Computer Systems Science & Engineering 2021年第4期37卷 33-46页

作者： Sinil Mubarak Mohamed hadi Habaebi Md Rafiqul Islam Farah Diyana abdul rahman Mohammad Tahir International Islamic University Malaysia Jalan Gombak53100Malaysia Sunway University Selangor47500Malaysia

An Intrusion Detection System (IDS) provides a front-line defensemechanism for the Industrial Control System (ICS) dedicated to keeping the process operations running continuously for 24 hours in a day and 7 days in a week.A well-known ICS is the Supervisory Control and Data Acquisition (SCADA)system. It supervises the physical process from sensor data and performs remotemonitoring control and diagnostic functions in critical infrastructures. The ICScyber threats are growing at an alarming rate on industrial automation applications. Detection techniques with machine learning algorithms on public datasets,suitable for intrusion detection of cyber-attacks in SCADA systems, as the firstline of defense, have been detailed. The machine learning algorithms have beenperformed with labeled output for prediction classification. The activity trafficbetween ICS components is analyzed and packet inspection of the dataset is performed for the ICS network. The features of flow-based network traffic areextracted for behavior analysis with port-wise profiling based on the data baseline,and anomaly detection classification and prediction using machine learning algorithms are performed.

关键词： Industrial control system SCADA intrusion detection system machine learning anomaly detection

Deep-piRNA:Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

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Computers, Materials & Continua 2022年第8期72卷 2243-2258页

作者： Salman Khan Mukhtaj Khan Nadeem Iqbal Mohd Amiruddin abd rahman Muhammad Khalis abdul Karim Department of Computer Science Abdul Wali Khan University MardanKhyber Pakhtunkhwa23200Pakistan Department of Information Technology University of HaripurKhyber Pakhtunkhwa22620Pakistan Faculty of Science Universiti Putra MalaysiaUPM Serdang43400Malaysia

Piwi-interacting Ribonucleic acids(piRNAs)molecule is a wellknown subclass of small non-codingRNAmolecules that are mainly responsible for maintaining genome integrity,regulating gene expression,and germline stem cell maintenance by suppressing transposon *** piRNAs molecule can be used for the diagnosis of multiple tumor types and drug *** to the vital roles of the piRNA in computational biology,the identification of piRNAs has become an important area of research in computational *** paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning *** proposed model applies various feature extraction methods to consider both structure information and physicochemical properties of the biological sequences during the feature extraction *** outcome of the proposed model is extensively evaluated using the k-fold cross-validation *** evaluation result shows that the proposed predictor performed better than the existing models with accuracy improvement of 7.59%and 2.81%at layer I and layer II *** is anticipated that the proposed model could be a beneficial tool for cancer diagnosis and precision medicine.

关键词： Deep neural network DNC TNC CKSNAP PseDPC cancer discovery Piwi-interacting RNAs Deep-piRNA

Effect of climate factors on the incidence of hand, foot, and mouth disease in Malaysia: A generalized additive mixed model

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Infectious Disease Modelling 2021年第1期6卷 997-1008页

作者： Nurmarni Athirah abdul Wahid Jamaludin Suhaila Haliza abd.rahman Department of Mathematical Sciences Faculty of ScienceUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia UTM Centre for Industrial and Applied Mathematics(UTM-CIAM) Ibnu Sina Institute for Scientific and Industrial ResearchUniversiti Teknologi Malaysia81310Johor BahruJohorMalaysia

Climate change is one of the critical determinants affecting life cycles and transmission of most infectious agents,including malaria,cholera,dengue fever,hand,foot,and mouth disease(HFMD),and the recent Corona-virus *** has been associated with a growing number of outbreaks resulting in fatal complications since the late *** outbreaks may result from a combination of rapid population growth,climate change,socioeconomic changes,and other lifestyle ***,the modeling of climate variability and HFMD remains unclear,particularly in statistical theory *** statistical relationship between HFMD and climate factors has been widely studied using generalized linear and additive *** dealing with time-series data with clustered variables such as HFMD with clustered states,the independence principle of both modeling approaches may be ***,a Generalized Additive Mixed Model(GAMM)is used to investigate the relationship between HFMD and climate factors in *** model is improved by using a first-order autoregressive term and treating all Malaysian states as a random *** method is preferred as it allows states to be modeled as random effects and accounts for time series data *** findings indicate that climate variables such as rainfall and wind speed affect HFMD cases in *** risk of HFMD increased in the subsequent two weeks with rainfall below 60 mm and decreased with rainfall exceeding 60 ***,a two-week lag in wind speeds between 2 and 5 m/s reduced HFMD's *** results also show that HFMD cases rose in Malaysia during the inter-monsoon and southwest monsoon seasons but fell during the northeast *** study's outcomes can be used by public health officials and the general public to raise awareness,and thus,implement effective preventive measures.

关键词： Autoregressive term Climate change Generalized additive mixed model HFMD Infectious disease

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-19 Hot-spot areas Sub-district level Spatio-temporal clustering Scan statistics

Morphological and molecular characterization of fungus isolated from tropical bed bugs in Northern Peninsular Malaysia, Cimex hemipterus(Hemiptera: Cimicidae)

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Asian Pacific Journal of Tropical Biomedicine 2015年第9期5卷 684-690页

作者： abdul Hafiz Ab Majid Zulaikha Zahran abd Hafis abd Rahim Nor Azliza Ismail Wardah abdul rahman Kartiekasari Syahidda Mohammad Zubairi Hamady Dieng Tomomitsu Satho Household and Structural Urban Entomology Laboratory School of Biological Sciences Universiti Sains Malaysia Plant Pathology Laboratory School of Biological Sciences Universiti Sains Malaysia Institute of Biodiversity and Environmental Conservation Universiti Malaysia Sarawak Department of Microbiology Faculty of Pharmaceutical Sciences Fukuoka University

Objective:To investigate some morphological and molecular characteristics of fungal parasites isolated from wild tropical bed bug, Cimex ***: A series of culture methods were used to obtain fungal isolates from i eld-collected bed bugs. Characteristics of the isolates such as colony appearance, mycelial texture and pigmentation were studied to explore their morphology. Isolates were also subjected to a PCRbased genotyping ***: There were noticeable dif erences in morphological characteristics among the four isolates. Conidial areas of one isolate were dark green, whereas those of the remaining colonies were olive-green, black or dark brown. Conidia of the dark green isolate were globose, while those of olive-green, black and dark brown isolates were globose to subglobose, globose to spherical and globose to subglobose/i nely roughened, respectively. These morphological specii cities and the molecular analyses showed that the fungal internal transcribed spacer ribosomal region and β-tubulin gene sequences of the isolates shared clade with Trichoderma and Aspergillus ***: Overall, the new discovery of common pathogens in agricultural i eld developed in live bed bugs storage tank may initiate the use of biological agents in later years.

关键词： Cimex hemipterus Aspergillus Trichoderma β-tubulin Internal transcribed spacer Morphological characteristics

High resolution facies architecture and digital outcrop modeling of the Sandakan formation sandstone reservoir, Borneo:Implications for reservoir characterization and flow simulation

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Geoscience Frontiers 2019年第3期10卷 957-971页

作者： Numair A.Siddiqui Mu.Ramkumar abdul hadi A.rahman Manoj J.Mathew M.Santosh Chow W.Sum David Menier Department of Petroleum Geosciences Universiti Teknologi PETRONAS Department of Geology Periyar University Institute of Oceanography and Environment Universiti Malaysia Terengganu Department of Earth Sciences University of Adelaide School of Earth Sciences and Resources China University of Geosciences Beijing Laboratoire Géosciences Océan UMR CNRS 6538Campus de Tohannic

Advances in photogrammetry have eased the acquisition of high-resolution digital information from outcrops, enabling faster, non-destructive data capturing and improved reservoir modeling. Geocellular models for flow dynamics with in the virtual outcrop in siliciclastic deposits at different sets of sandstone facies architecture remain, however, a challenge. Digital maps of bedding, lithological contrast, spatial-temporal variations of bedding and permeability characteristics make it more easy to understand flow tortuosity in a particular architecture. An ability to precisely model these properties can improve reservoir characterization and flow modeling at different scales. Here we demonstrate the construction of realistic 2 D sandstone facies based models for a pragmatic simulation of flow dynamics using a combination of digital point clouds dataset acquired from LiDAR and field investigation of the Sandakan Formation, Sabah, ***, we present methods for enhancing the accuracy of outcrop digital datasets for producing high resolution flow simulation. A well-exposed outcrop from the Sandakan Formation, Sabah, northwest Borneo having a lateral extent of 750 m was chosen in order to implement our research approach. Sandstone facies and its connectivity are well constrained by outcrop observations, data from air-permeability measurements, bilinear interpolation of permeability, grid construction and water vector analysis for flow *** proportions were then enumerated in terms of static digital outcrop model(DOM) and facies model based on sandstone facies bedding characteristics. Flow simulation of water vector analysis through each of the four sandstone facies types show persistent spatial correlation of permeability that align with either cross-bedded orientation or straight with more dispersion high quality sandstone(porosity 21.25%-41.2%and permeability 1265.20-5986.25 mD) and moderate quality sandstone(porosity 10.44%-28.75% and permeabili

关键词： Siliciclastic sandstone facies Connectivity Heterogeneity Digital outcrop model Flow dynamics

Development of Lead Free Crystal Glass Using Silica Sand from Gong Belibis Setiu, Terengganu

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Journal of Geological Resource and Engineering 2016年第3期4卷 137-141页

作者： Mohamad Haniza Mahrnud Mohd Idham Mustaffar abdul hadi abdul rahman Mineral Research Centre Department of Minerals and Geoscience Malaysia Department of Minerals and Geoscience Terengganu Malaysia

The silica sand deposit located at km 55 Jalan Pantai Kuala Terengganu-Kuala Besut in the District of Setiu, North Terengganu consists of loose sand of fine to coarse grain size which is developed over the raised beaches of marine origin. The underlying bedrock is believed to be either metasediment of Late Paleozoic age or intrusive granitic rocks. The average content of SiO2 is 99.3% while for the Fe2O3, Al2O3 and TiO2, their average content are 0.1%, 0.3% and 0.2% respectively. The screen analyses show that more than 90 percent of the silica sand is within 150 to 1,180 micron size range. The total area underlain by potential silica sand is about 1.9 million sq. metres with total measured reserve about 2.6 million tonnes. According to Malaysian Standard, MS 701：1981 and British Standard BS 2975：1988, silica sand for making crystal glass should meet the grade B specification in which the purity of silica sand is not less than 99.5% with only a small amount of iron oxide （0.015%）, alumina （0.05%）, chromium oxide （maximum 2 ppm） and other mineral oxides. In the production of crystal glass, a front loading furnace was used and maximum melting temperature was 1400 ℃. After melting process, physical evaluation on the crystal glass products were performed pertaining to complete accomplishment of melting such as existing of bubbles inside crystal glasses. In order to ensure that crystal glass quality meets the international standard, specification for crystal glass published by British standard BS 3828：1973 was taken as a guideline. Some of the parameters are density, surface hardness and refractive index. In general, silica sand from Gong Belibis, Setiu Terengganu is suitable as a raw material for making crystal glass product.

关键词： Silica sand attrition scrubbing crystal glass and refractive index.