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International Conference on engineering and Emerging Technologies (ICEET)

作者： Mohd Kamir Yusof Mustafa Man Azli Ismail Faculty of Informatics & Computing Universiti Sultan Zainal Abidin Terengganu Besut Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus Malaysia Lieos SDN BHD Lot 37744 Tingkat 1 Wisma Dataran Rimba Square Terengganu Kuala Nerus Malaysia

ISBN: (纸本)9781665491075

Data integration is currently most important to organization to integrate data from different data sources using different platform or programming languages. A suitable approach is required to allow one system send the data to another system using standard data format. REST API is one approach can used for data integration using JSON format. Three processes are involved in this approach. There are extract data, send data, received and dump data. In this approach, SAP system will be sending the data in JSON to FEMS system. FEMS system will be exploded and dump the data into database FEMS. Based the experiment, the result indicates, REST API is successfully implemented by showing less response time and CPU usage during sending and receiving the data in JSON format.

关键词： Computer languages Databases Soft sensors Standards organizations Data integration Organizations Finite element analysis

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A review of learning management systems (LMS) framework towards the element of outcome based education (OBE)

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AIP Conference Proceedings 2023年第1期2484卷

作者： Haziman Madiah Rosmayati Mohemad 1Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia 2Department of Information Technology and Communication Politeknik Kuala Terengganu 20200 Kuala Terengganu Terengganu Malaysia

The emergence of the Learning Management System (LMS) has significantly enhanced the teaching and learning process by centralising the management, organisation, delivery, and reporting of educational content and student outcomes. Moving towards outcome-based education (OBE), a LMS that is capable of supporting the delivery of OBE courses can facilitate more effective engagement with students, thereby improving students' learning outcomes and accelerating the process of continuous quality improvement. However, there is no well-rounded LMS framework for supporting the implementation of the OBE learning process to the best of our knowledge. Therefore, the objective of this paper is to investigate how well the OBE elements are integrated into the LMS framework and what research gaps exist at the delivery and assessment stages of the OBE course in the context of an LMS. The methodology entails a review of related works on LMS in terms of user management and administration, pedagogy style, usability and learning outcomes, support for learner behaviours and actions, design specification, clear and user-friendly graphical interface, course schedule creation, course administration capability, course content creation tools, rich content types, well-designed course repository, a student's profile, assessment, score, and transcript, learning and instructional design, the ability of users to interact, collaborate, evaluate, and provide feedback, reporting, technical specification and support, and finally, security. A selection of articles is analysed to identify areas for further investigation as well as the limitations of the current LMS. In summary, the findings indicate that none of the currently available LMSs effectively support and capture OBE knowledge during the delivery and assessment stages. As a result, the outcomes are unfavourable and conform to OBE requirements. Additionally, one of the significant challenges that must be addressed is designing and developing the i

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Error estimates for one local interpolation cubic spline with the maximum approximation order of O(h3) for W1[a, b] classes

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AIP Conference Proceedings 2023年第1期2484卷

作者： Sayfiddin A. Bakhromov Zainidin K. Eshkuvatov 1Faculty of Applied Mathematics and Intellectual Technologies National University of Uzbekistan (NUUz) Tashkent Uzbekistan. 2Faculty of Ocean Engineering Technology and Informatics University Malaysia Terengganu (UMT) 21300 Kuala Terengganu Malaysia.

It is known that local splines have been widely used for processing of various signals such as restoration of geophysical, biomedical signals. Moreover, it uses for the approximate calculation of regular and singular integrals, integrals of the Fourier types. Using such splines, we can build effective quadrature and cubature formulas. It uses for approximate solution of regular and singular integrals equations. In this note, error estimation of local spline functions is obtained in the class of function W1[a, b]. Moreover, comparisons with other splines are shown in graphical experiments. On the other hand, it is shown that the order of approximation of local spline function is higher than the Ryabenky and Grebennikov cubic splines. It is shown that local spline function in all cases achieved tangible results in comparison with the classical polynomial approximation. It is well known that the maximum order of approximation by the Ryabenky and Grebennikov cubic splines is O(h2) and maximum order of approximation of the local cubic spline function is O(h3), and the interpolation condition is satisfied. Numerical experiments are also in the line of theoretical findings.

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Comparison of different convolutional neural network techniques for car models classification

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AIP Conference Proceedings 2023年第1期2484卷

作者： Siti Nurfarahim Shaharudin Wan Nural Jawahir Hj Wan Yussof Muhammad Suzuri Hitam Tajul Arifin Abd Manan Nordin Abd Rasid 1Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21300 Kuala Nerus Terengganu Malaysia 2Digital Ecosystem Center Universiti Malaysia Terengganu 21300 Kuala Nerus Terengganu Malaysia

Car model classification is crucial as part of recognizing suspicious cars on the road that irresponsible owners have modified to obscure the views of police authorities for criminal purposes. This study presents car model classification using a deep learning state-of-the-art Neural Network architecture called Convolutional Neural Networks (CNN). Rather than being taught the concepts of a car, computers could study images, learn the concepts on their own using CNN, and classify them into their respected models using image processing methods. Different pre-trained CNNs were used in this study, including AlexNet, ResNet, and GoogleNet. The main idea of using different pre-trained CNNs is to compare the performance of the classification task by using various networks. The experimental results show that ResNet performed better than AlexNet and GoogleNet in classifying the modified cars into their actual class.

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Big data analytics and healthcare performance: A unified model

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AIP Conference Proceedings 2023年第1期2484卷

作者： Khairallah Mohd Ali Al-Talafhah Faizah Aplop Mohammad Daradkeh M. Bayu Wibawa Marniati 1Faculty of Ocean Engineering Technology and Informatics (FTKKI) Universiti Malaysia Terengganu Kuala Nerus Malaysia 2Department of Information Technology College of Engineering & Information TechnologyUniversity of Dubai Dubai United Arab Emirates 3Universitas U'budiyah Indonesia Aceh Indonesia

The digitization of health care information and the rise of value-based care have paved the way to health care big data, which then encouraged the health care industry to use data analytics to make strategic business decisions. Faced with the challenges of health care data such as volume, velocity, variety, and veracity, healthcare industry needs to adopt a sophisticated digital technology capable of collecting, storing, and analysing these information to produce meaningful, actionable insights. Big data analytics (BDA) guarantees that data may be analysed and categorised into useful information that can be utilized by the healthcare authority in making decisions to support and improve the overall healthcare organization performance. However, implementing BDA to optimize healthcare performance is a fundamental challenge for researchers and practitioners alike. This study aims to explore and review the factors that influence healthcare organizations to adopt BDA. The paper uses a search strategy that covers four separate electronic databases. The researchers surveyed 120 titles, abstracts and keywords. 72 studies potentially relevant articles were identified, of which 21 studies met the quality criteria and contributed to the analysis, we identified five broad thematic competencies: organizational, technical, analytical, cognitive, and social. These thematic categories were used to develop a unified model of BDA competency. This model will be used to investigate the impact of BDA on healthcare performance and decision making. 9-point font.

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Maritime law of tort collision regulations mobile apps (MLoTMA)

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AIP Conference Proceedings 2023年第1期2675卷

作者： Nurain Binti Mohd Razik Mohammad Aizat Bin Basir Mohd Sharifuddin Bin Ahmad Ahmad Faizal Bin Ahmad Fuad 1Faculty of Ocean Engineering Technology & Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia 2Faculty of Ocean Engineering Technology & Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia 3Faculty of Maritime Studies Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia 4Faculty of Maritime Studies Universiti Malaysia Terengganu Kuala Nerus Terengganu 21030 Malaysia

A ship collision is one of the most hazardous incidents that may occur at sea. The circumstances that lead to these incidents vary widely, but some of the most prevalent forms of maritime collisions include side collisions, bow-on collisions, stern collisions, and allision. Any of these errors can rapidly turn catastrophic for the crew or passengers on board the implicated boats. Case studies have revealed that, contrary to common assumption, the majority of crashes are caused by the bridge team’s carelessness and inability to fulfil fundamental navigational responsibilities. In this study, a Maritime Law of Tort Collision Regulations Mobile Apps was designed to determine whether the navigator or master is negligent or not by examining the navigator’s or master’s actions that are either above or below the standard of care. This mobile-based solution was created using the Agile Methodology. The key rationale for implementing agile is that the main characteristics of mobile applications are that user requirements change over time, are constantly altered, development time is short, and the emphasis is more on the user interface. Based on continuous client feedback, the agile process paradigm entails iteratively enhancing and deploying a software system. This app is intended to make determining a person’s negligence during navigation easier and faster, while not bypassing the judge’s decision.

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Thiophene Desulfurization: Effects of Dendritic Silica and Peg as Surface Modifier on Zno Photocatalyst

SSRN

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SSRN 2024年

作者： Makhtar, Siti Nurfatin Nadhirah Mohd Hairom, Nur Hanis Hayati Puasa, Nor Aliffah Jalil, Aishah Abdul Madon, Rais Hanizam Hamzah, Sofiah Ng, Law Yong Yusof, Norhaniza Microelectronics and Nanotechnology Shamsuddin Research Center Institute for Integrated Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Johor Batu Pahat86400 Malaysia Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia Hab Pendidikan Tinggi Pagoh KM1 Jalan Panchor Johor Muar84600 Malaysia Faculty of Chemical and Energy Engineering Universiti Teknologi Malaysia Johor Johor Bahru81310 Malaysia Centre of Hydrogen Energy Institute of Future Energy University Teknologi Malaysia Johor Johor Bahru81310 Malaysia Faculty of Mechanical and Manufacturing Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Johor Batu Pahat86400 Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus21030 Malaysia Lee Kong Chian Faculty of Engineering and Science Universiti Tunku Abdul Rahman Jalan Sungai Long Bandar Sungai Long Selangor Kajang43000 Malaysia School of Chemical Engineering Universiti Teknologi Malaysia Johor Johor Bharu81310 Malaysia

This work focused on the desulfurization of thiophene using a photocatalyst comprising zinc oxide (ZnO) and fibrous silica nanospheres (KCC-1) to exploit the photocatalytic process. Six photocatalyst samples (commercial ZnO, KCC-1, ZnO/1.5KCC-1, ZnO/2.0KCC-1, ZnO/2.5KCC-1 and ZnO/PEG) were characterized using field-emission scanning electron microscopy (FESEM), Fourier transform infrared (FTIR) spectroscopy and X-ray diffractometry (XRD). It was found that the properties of ZnO were altered with the incorporation of KCC-1 to enhance the efficiency of thiophene desulfurization. Desulfurization performances were investigated using three parameters, which were initial pH, initial thiophene concentration and photocatalyst loading. Each of the parameters was validated using thiophene desulfurization percentage and turbidity removal percentage. This work discovered that ZnO/2.0KCC-1 was the optimum photocatalyst with 83% thiophene desulfurization. No clear trend was observed for turbidity removal percentage, yet the ZnO/KCC-1 photocatalyst was able to reduce turbidity significantly. The pH of the permeate rose from neutral to the alkaline range due to the hydroxyl radicals (•OH) produced during the desulfurization process. © 2024, The Authors. All rights reserved.

关键词： Zinc oxide

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Numerical analysis of feed-forward network of the Saint-Venant equation for water resources management

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AIP Conference Proceedings 2023年第1期2484卷

作者： I. Abdullah Sh. Juraev R. Aloev 1Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus Terengganu Malaysia. 2Department of Computational Mathematics and Information Systems National University of Uzbekistan Uzbekistan Almazar 4 Tashkent Uzbekistan.

This study is devoted to analyse numerically the Saint-Venant equation. This equation is well known for solving water management problems as in assessment of water reserves using a Feed-forward network, and function management of the river system. All these phenomena are related to the unsteady flow of water in the system of rivers and canals, the flow of which is most often described by the hypothetical equation of Saint-Venant. One of the three-layer, feed-forward network framework, namely back-propagation network (BPN) is employed to represent the water resources management of Ugam river. The calculation is obtained for the motion of a river along the x-axis by using Python programming language.

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Silica–silver core–shell nanoparticles incorporated with cellulose filter paper as an effective colorimetric probe for mercury ion detection in aqueous media: Experimental and computational evaluations

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Environmental Nanotechnology, Monitoring and Management 2023年 19卷

作者： Azmi, Alyza A. Izzati Daud, Adibah Khairul, Wan M. Hamzah, Sofiah Wan Mohd Khalik, W.M.A. Hanis Hayati Hairom, Nur Faculty of Science and Marine Environment Universiti Malaysia Terengganu Terengganu Kuala Nerus 21030 Malaysia Environmental Sustainable Material Research Interest Group Universiti Malaysia Terengganu Terengganu Kuala Nerus 21030 Malaysia Faculty of Chemical Engineering Technology Universiti Malaysia Perlis Perlis Padang Besar 02100 Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus 21030 Malaysia Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia Hab Pendidikan Tinggi Pagoh KM1 Jalan Panchor 86400 Johor Muar Malaysia Microelectronic and Nanotechnology - Shamsuddin Research Centre Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Parit Raja Batu Pahat 86400 Malaysia

This study investigates the facile and rapid detection of mercury ions using silica–silver core–shell nanoparticles (SiO2–AgNPs) incorporating a paper-based colorimetric sensor strip. A strong surface plasmon reson... 详细信息

This study investigates the facile and rapid detection of mercury ions using silica–silver core–shell nanoparticles (SiO₂–AgNPs) incorporating a paper-based colorimetric sensor strip. A strong surface plasmon resonance peak at λ = 430 nm was observed for the resultant SiO₂–AgNPs. The attachment of the AgNPs to the surface of SiO₂ and the deposition of the AgNPs on the paper strip were confirmed using an electron microscope. The sensing of the SiO₂–AgNPs toward the mercuric ion (Hg²⁺) in an aqueous solution indicated a rapid response in terms of a color change from yellowish-brown to colorless with a response time of 5–10 s. The prepared SiO₂–AgNPs deposited on the paper strip exhibited high selectivity toward Hg²⁺ compared with other metal ions. The limit of detection for this assay was 1.13 nM, with an excellent correlation value of R² = 0.9936. In addition, the complexation mode of the SiO₂–AgNPs with Hg²⁺ was also elucidated via theoretical calculations using the density functional theory approach. This approach also provides insight into the complexation structure in terms of the electronic alteration of the SiO₂–AgNPs prior to and following their interaction with Hg²⁺. Overall, the study demonstrates that SiO₂–AgNP-based sensor materials can be utilized for the selective recognition of Hg²⁺ in aqueous solutions. © 2022 Elsevier B.V.

关键词： Colorimetric sensor DFT Mercury detection Silica–silver SPR

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The influence of magnetic field on wall shear stress in power law fluid flow of blood

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AIP Conference Proceedings 2021年第1期2365卷

作者： Amira Husni Talib Ilyani Abdullah Nik Nabilah Nik Mohd Naser 1Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nereus Terengganu Malaysia

The profile of wall shear stress in non-Newtonian fluid which power law fluid through a cosine shape stenosis is analysed in this study. This study also reveals the effect of magnetic field as an external force on wall shear stress. Wall shear stress is an important flow characteristic in order to determine the behavior of blood. The governing equations employing the blood flow in the cylindrical coordinate system and then solved by finite difference scheme in staggered grid known as Marker and Cell (MAC) method. The influence of various parameters on wall shear stress profile are evaluated via graphical results. The results show that wall shear stress increases when magnetic field applied and higher at the stenotic region.

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