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6th International Conference on Mechanical engineering Research, ICMER 2021

作者： Anida, I.N. Norbakyah, J.S. Yussof, W.N.J.H.W. Walker, P. Salisa, A.R. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus21030 Malaysia Universiti Malaysia Terengganu Terengganu Kuala Nerus21030 Malaysia Universiti Malaysia Terengganu Terengganu Kuala Nerus21030 Malaysia School of Mechanical and Mechatronic Engineering Faculty of Engineering and Information Technology University of Technology Sydney UltimoNSW2007 Australia

ISBN: (纸本)9789811915765

Driving cycle plays a vital role in the production and evaluating the performance of the vehicle. Driving cycle is a speed-time data set and as an important input for vehicle emission models. A problem coming with the second-by-second speed driving data is to analyze the big driving data. To analyze this big data, it is necessary to choose best big data analysis methods, which give opportunity to store, preprocess, detect outlier and apply classification or clustering algorithms. In this study, a set of driving data is stored, managed and analyzed using Tall Arrays (TA) and k-means clustering algorithms in MATLAB for the development of Kuala Terengganu Driving Cycle (KTDC). The objectives of this paper are;to store and manage driving data using TA in MATLAB, to develop a KTDC by using k-means clustering, and lastly to analyze the energy consumption and emissions of KTDC. Firstly, the driving data is collected in five different routes in Kuala Terengganu city at go-to-work times. Then the data is stored and analyzed in the MATLAB. The development of KTDC is by using k-means clustering approach. Finally, the energy consumption and emissions of KTDC is analyzed by using AUTONOMIE software. KTDC is successfully developed with 35.15 km/h in average speed and 12 micro-trips. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： MATLAB

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Efficient Cloud Resource Scheduling with an Optimized Throttled Load Balancing Approach

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Computers, Materials & Continua 2023年第11期77卷 2179-2188页

作者： V.Dhilip Kumar J.Praveenchandar Muhammad Arif Adrian Brezulianu Oana Geman Atif Ikram Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatoreTamil Nadu641114India Department of Computer Science Superior UniversityLahorePakistan Faculty of Electronics Telecommunications and Information Technology Gheorghe Asachi Technical University of IasiIa¸si700050Romania Department of Health and Human Development Stefan cel Mare University of SuceavaSuceava720229Romania Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala NerusMalaysia

Cloud technology is a new platform that offers on-demand computing Peripheral such as storage,processing power,and other computer system *** is also referred to as a system that will let the consumers utilize computational resources like databases,servers,storage,and intelligence over the *** a cloud network,load balancing is the process of dividing network traffic among a cluster of available servers to increase *** is also known as a server pool or server *** a single node is overwhelmed,balancing the workload is needed to manage unpredictable *** load balancer sends the load to another free node in this *** focus on the Balancing of workflows with the proposed approach,and we present a novel method to balance the load that manages the dynamic scheduling *** of the preexisting load balancing techniques is considered,however it is somewhat modified to fit the scenario at *** on the experimentation’s findings,it is concluded that this suggested approach improves load balancing consistency,response time,and throughput by 6%.

关键词： Load balancing throttled algorithm efficient resource allocation

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Bas KiTE PHEB Analysis Performance using MATLAB/SIMULINK 7

Bas KiTE PHEB Analysis Performance using MATLAB/SIMULINK

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7th Astechnova International Energy Conference, ASTECHNOVA 2023

作者： Aiman, W.A.W.M. Norbakyah, J.S. Anida, N.I. Zulfadli, M. Salisa, A.R. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu21030 Malaysia Cas Ligas Sdn. Bhd. Level 9 Permint Tower Jalan Sultan Ismail Kuala Terengganu Terengganu20200 Malaysia

The performance analysis of Bas KiTE Plug-in Hybrid Electric Bus (PHEB) is crucial for assessing its effectiveness in power system applications to reduce fuel consumption and emission. In this study, MATLAB/SIMULINK is employed as a tool of modelling and simulation to evaluate the performance of Bas KiTE PHEB model. The research focuses on sizing of Bas KiTE PHEB and performance of Bas KiTE PHEB electric machine model, internal combustion engine model, and energy system storage model using MATLAB/SIMULINK in term power, fuel consumption and emission. Kuala Terengganu driving cycle were use as input to see the performance. Through this study, the preliminary of Bas KiTE PHEB model use MATLAB/SIMULINK can be used as reference to build the prototype of PHEB in Kuala Terengganu. © Published under licence by IOP Publishing Ltd.

关键词： MATLAB

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The Effect of Trawl Activities to Subsea Pipelines of East Coast Peninsular Malaysia: A Risk Analysis 6th

The Effect of Trawl Activities to Subsea Pipelines of East C...

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6th International Conference in Mechanical engineering Research, ICMER 2021

作者： Ahmad Fuad, Ahmad Faizal Said, Mohd Hafizi Samo, Khalid Mohd, Mohd Hairil Alias, Fatin Rahman, Mohd Asamudin A. Nautical Science Programme Faculty of Maritime Studies Universiti Malaysia Terengganu Kuala Nerus Terengganu Terengganu 21030 Malaysia Maritime Technology and Naval Architecture Programme Faculty of Ocean Engineering and Technology & Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu Terengganu 21030 Malaysia

ISBN: (纸本)9789811914560

Subsea pipeline is prone to the damage due to fishing activities. Bottom trawling is one of the threats to the pipeline integrity. Fishermen used bottom trawling method to catch large volume of fish and benthic along the trawl route on the seabed. This causes the trawl net to be stuck on the subsea pipeline if their activity is close to the oil and gas platform. This paper evaluates the risk of subsea pipeline fish trawling operations on the east coast of offshore Peninsular Malaysia. On-site surveys were used to establish the characteristics of trawling devices used by local trawlers in the region. Based on site survey that was conducted, the frequency of fish trawlers crossing the pipelines is estimated. The pull-over load estimate for the otter board was determined using the Det Norske Veritas Germanischer Lloyd (DNVGL) algorithm. The severity and frequency index of the risk matrix was developed based on literature review. The findings showed that the pull-over load of otter board would not damage the pipelines. The risk presented to the pipelines by the operations of fish is considered low and moderate. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk assessment

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Adapting to the impacts of climate change on port operation

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Australian Journal of Maritime and ocean Affairs 2023年第2期15卷 107-126页

作者： Devendran, Lishalini Menhat, Masha Md Hanafiah, Rudiah Yatim, Norhafiza Ilyana Ali, Nora’aini Mohd Zaideen, Izyan Munirah Faculty of Maritime Studies Universiti Malaysia Terengganu Kuala Terengganu Malaysia Higher Institution Centre of Excellence (HICoE) Institute of Tropical Aquaculture and Fisheries Universiti Malaysia Terengganu Kuala Nerus Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Kuala Nerus Terengganu Malaysia

Extreme climate change has occurred over the last decade, which has impacted the port and shipping industries. Port operations are vulnerable to the detrimental effects of climate change, which are predicted to present significant challenges to port operators. The impact is adverse and adapting to it has become crucial. Given the initial state of research on climate change, this paper aims to provide a thorough overview via a Systematic Literature Review of its issues, impacts on port operations, and adaptation strategies. The findings indicate that several issues influence port operations, such as sea-level rise, storm surges, and extreme winds. The study clearly showed that the port has been identified as being vulnerable to climate change and there has already been an intrusion into port operations worldwide. Furthermore, the potential solutions to climate change adaptation have also been addressed, and the most suggested options include modernising the port infrastructure, relocating the port, and developing a symbiotic relationship with the city. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： adaptation Climate change impact maritime industry port operation

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Exploitation of Meta-Heuristic Search Methods with Bio-Inspired Algorithms for Optimal Feature Selection 3

Exploitation of Meta-Heuristic Search Methods with Bio-Inspi...

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3rd IEEE International Conference on Artificial Intelligence in engineering and technology, IICAIET 2021

作者： Basir, Mohammad Aizat Hussin, Mohamed Saifullah Universiti Malaysia Terengganu Faculty of Ocean Engineering Technology and Informatics Terengganu Malaysia

ISBN: (纸本)9781665428996

It is very difficult and crucial to achieve the selection of optimal features, particularly for the classification task. Because the conventional method of identifying features that function independently has resulted in the selection of unrelated features, the consistency of the classification's accuracy has been degraded. The objective of this article is to optimize Meta-heuristic algorithms, particularly Tabu Search (TS) and Harmony Search (HS), using the capabilities of bioinspired search algorithms in conjunction with the wrapper. The essential stages are to idealize the TS and HS combination with appropriate bio-search methods, and to incorporate the creation of various feature subsets. The following step is to do a subset evaluation to confirm the optimum feature set. The evaluation criteria are based on the number of features utilized and the classification accuracy. To be tested, eight (8) comparison datasets of different sizes were carefully chosen. Extensive testing has indicated that the ideal combination of the chosen bio-search algorithm and meta-heuristics algorithms, especially TS and HS, promises to offer a better optimum solution (i.e. fewer features with greater classification accuracy) for the selected datasets. As a consequence of this research, the ability of bio-inspired algorithms with wrapper/filtered to select and identify characteristics would enhance the efficiency of TS and HS. © 2021 IEEE.

关键词： Tabu search

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Analysis of Distance-Based Topological Polynomials Associated with Zero-Divisor Graphs

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Computers, Materials & Continua 2022年第2期70卷 2895-2904页

作者： Ali Ahmad Roslan Hasni Nahid Akhter Kashif Elahi College of Computer Sciences and Information Technology JazanJazan UniversitySaudi Arabia Faculty of Ocean Engineering Technology and Informatics University Malaysia TerengganuKuala Terengganu21030TerengganuMalaysia Department of Mathematics Govt.College UniversityLahorePakistan Deanship of E-learning and Information Technology Jazan UniversityJazanSaudi Arabia

Chemical compounds are modeled as *** atoms of molecules represent the graph vertices while chemical bonds between the atoms express the *** topological indices representing the molecular graph corresponds to the different chemical properties of *** a,b be are two positive integers,andΓ(Z_(a)×Z_(b))be the zero-divisor graph of the commutative ring Z_(a)×Z_(b).In this article some direct questions have been answered that can be utilized latterly in different *** study starts with simple computations,leading to a quite complex ring theoretic problems to prove certain *** theory of finite commutative rings is useful due to its different applications in the fields of advanced mechanics,communication theory,cryptography,combinatorics,algorithms analysis,and *** this paper we determine the distance-based topological polynomials and indices of the zero-divisor graph of the commutative ring Z_(p^(2))×Z_(q)(for p,q as prime numbers)with the help of graphical structure *** study outcomes help in understanding the fundamental relation between ring-theoretic and graph-theoretic properties of a zero-divisor graphΓ(G).

关键词： Zero divisor graph Wiener index Hosoya polynomial (modified)Schulz index (modified)Schulz polynomial

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A Comparative Analysis of Machine Learning Techniques for Heart Disease Prediction 21

A Comparative Analysis of Machine Learning Techniques for He...

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21st IEEE Student Conference on Research and Development, SCOReD 2023

作者： Alqushaibi, Alawi Ragab, Mohammed Gamal Sumiea, Ebrahim Hamid Al-Selwi, Safwan Mahmood Hasan, Mohd Hilmi Abdulkadir, Said Jadid Alhussian, Hitham Al-Asbahi, Mahmoud Mustafa Universiti Teknologi PETRONAS Computer and Information Sciences Perak Malaysia Universiti Teknologi PETRONAS Centre for Research in Data Science Perak Malaysia Universiti Malaysia Terengganu Faculty of Ocean Engineering Technology and Informatics Terengganu Malaysia

ISBN: (纸本)9798350318821

Detection of heart disease is critical, as it is a common and serious health condition. Predicting its occurrence is vital in the healthcare domain, and machine learning techniques are increasingly being utilized to accurately identify patients at risk. To evaluate how well machine learning models can effectively predict heart disease, we used a pre-existing dataset from the UCI repository's Cleveland database. Though the dataset originally contained 303 records and 76 attributes, we followed the literature by narrowing the focus to 14 relevant attributes in order to improve the precision of various algorithmic approaches. Our study employed five machine learning classifiers, namely KNearest Neighbors (KNN), CatBoost Classifier (CBC), Decision Tree Classifier (DT), XGBClassifier (XGBC), and Support Vector Classifier (SVM). We evaluated their performance using different metrics like accuracy, precision, AUC, and F1 score on the heart disease dataset. We found that the CatBoost Classifier had the best performance, achieving high accuracy and AUC with 0.88% and 0.94% values, respectively. This suggests that machine learning algorithms could aid in identifying heart disease at an early stage and have significant implications for improving patient outcomes in healthcare. © 2023 IEEE.

关键词： Forecasting

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Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification

Preliminary Study on the Effect of Traffic Representation on...

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2022 IEEE International Conference on Computing, ICOCO 2022

作者： Aqil, Nik Afifi, Firdaus Zaki, Faiz Anuar, Nor Badrul Faculty of Computer Science and Information Technology Universiti Malaya Department of Computer System and Technology Kuala Lumpur50603 Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu21030 Malaysia

ISBN: (纸本)9781665489966

The Internet of Things (IoT) has gained attention for its rapid growth in the past few years. IoT devices such as temperature and humidity sensors and voice controllers are implemented widely, from household appliances to industrial machines. However, with the rapid growth and benefits IoT offers, we are exposed to various security vulnerabilities, such as data breaches and IoT-specific malware. Researchers are using IoT device identification as a solution for IoT security issues. IoT device identification helps network administrators identify network traffic into its originating devices. However, researchers often overlook an important issue in IoT device identification, which is accuracy degradation over time. Thus, this paper explores the severity of accuracy degradation in IoT device identification on different traffic representation approaches, which are flow, sub-flow, and packet. This paper utilizes a private, and the UNSW IoT Traffic Traces public dataset. Based on the experimental findings, the sub-flow-based approach recorded the best overall performance, with only 8% degradation in the private dataset and 1% degradation in the public dataset. Meanwhile, even though the packet-based approach only degraded 5% on the private dataset, it recorded up to an 11% accuracy decrease in the public dataset. © 2022 IEEE.

关键词： Internet of things

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Assessing and solving multicollinearity in sediment transport prediction models using principal component analysis

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ISH Journal of Hydraulic engineering 2021年第S1期27卷 343-353页

作者： Sulaiman, Mohd Sofiyan Abood, Manal Mohsen Sinnakaudan, Shanker Kumar Shukor, Mohd Rizal You, Goh Qiu Chung, Xiang Zhi School of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Terengganu Malaysia Faculty of Engineering and Technology Infrastructure Infrastructure University Kuala Lumpur Kajang Malaysia Faculty of Civil Engineering Universiti Teknologi MARA Permatang Pauh Malaysia

Predicting sediment transport in a river system is necessary when attempting to monitor river changes due to incoming particle deposition from upstream reaches. Previous studies have used various techniques such as probabilistic, regression, and equal mobility approaches to make predictions. However, issues associated with multicollinearity occur when using the regression approach. Significant correlations between the explanatory variables in a regression equation can increase the coefficient variance estimates, which make these estimates very sensitive to minor changes. Thus, we propose the use of principal component analysis as a solution to these issues. We observed that the variance inflation factor is less than 10, which indicates the nonexistence of issues associated with multicollinearity. Fitting components to the regression equation create a new prediction model for sediment transport, which improves upon previous equations using the same technique. © 2019 Indian Society for Hydraulics.

关键词： Regression analysis

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