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Your search keyword '"Abas, Mohd Azman"' showing total 30 results
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30 results on '"Abas, Mohd Azman"'

1. Deep Learning Based Distance Estimation Method Using SSD and Deep ANN for Autonomous Braking/Steering

Author

Halimi, Siti Nur Atiqah, Rahman, Mohd Azizi Abdul, Ariff, Mohd Hatta Mohammed, Yeu, Yap Hong, Izni, Nor Aziyatul, Abas, Mohd Azman, Yusoff, Syed Zaini Putra Syed, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Ahmad, Nur Syazreen, editor, Mohamad-Saleh, Junita, editor, and Teh, Jiashen, editor

Published
2024
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8. Development of Muar driving cycle based on real-world driving conditions.

Author

Abidin, Shaiful Fadzil Zainal, Khalid, Amir, Shafiruddin, Nur Syamin Ikhmal, Che Haimai, Che Wan Mohd Naim, Zahari, Izzarief, Jalal, Rifqi Irzuan Abdul, and Abas, Mohd Azman

Subjects
TRAFFIC safety, TRAFFIC congestion, DATA recorders & recording, RURAL geography, PROPORTIONAL navigation
Abstract

A driving cycle is a graph that represents vehicle speed over time of a specific area and characterizes a typical driving pattern for a city's population at different driving conditions such as peak and off-peak. This research aims to design and develop Muar Driving Cycle (MDC) based on the actual driving condition. Selection of routes made via Google Traffic based on the congestion level and driving conditions for urban, semi-urban and rural areas in the Muar district. The data was collected using the test vehicle Proton Saga 1.3L CVT, equipped with the data loggersystem. Recording data has been segregated according to the maximum vehicle speedfor each micro-trip. Micro-trips were combined to construct the Muar Driving Cyclebased on target speed and acceleration. The initial driving pattern of MDC has been developed and the cycle characteristic are presented. The results obtained are compared with the current driving cycle including NEDC, WLTC and the MUDC. MDC has the high velocity with an average of 40.66 km/h with a maximum speed of 112.06 km/h and average acceleration of 0.263 m/s2. The drive cycle should be validated through vehicle simulation and the chassis emission cycle test in the future. The findings from the study would benefit in identifying the optimum solution for powertrain and vehicle technologies for Malaysian driving conditions. [ABSTRACT FROM AUTHOR]

Published
2023
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24. Co-pyrolysis of Empty Fruit Bunch and Waste Tire: A Kinetics and Synergism Analysis .

Author

Guo Ren Mong, Woei Fong Chong, William, Jo-Han Ng, Cheng Tung Chon, Idris, Rubia, Abas, Mohd Azman, and Meng Choung Chiong

Subjects
WASTE tires, PYROLYSIS, RENEWABLE energy sources, ENVIRONMENTAL protection, BIOMASS energy
Abstract

The efforts in discovering new, green and sustainable energy sources have been overwhelming, all with the common aim of combating global warming and environmental pollution while protecting the supply security of conventional energy sources. Pyrolysis is a secure thermo-chemical conversion method suitable for the conversion of biomass waste into a product of higher energy value, aimed for energy production. Co-pyrolysis on a blend of feedstock from different sources has captured the attention of the scientific community as it has been demonstrated to be able to overcome undesirable characteristics of the derived products like high acidity and high ash content. The present study demonstrates the co-pyrolysis of empty fruit bunch (EFB) and waste tire (WT) at a mass ratio of 1:1 using a thermogravimetric analyser. The results were compared with the baseline of pure feedstock pyrolysis. It was reported that EFB is more reactive at a lower temperature region (200-325 °C) due to the composition of cellulose and hemicellulose. WT has a higher temperature degradation zone (300- 480 °C), correlating with the compositions of natural rubber, styrene-butadiene rubber and butadiene rubber. A synergism analysis by comparison of theoretical and experimental TG and DTG curve of the blend revealed an inhibitive effect on the decomposition rate on the first peak of the DTG graph (~316 °C) while promoting the decomposition rate on the second peak of the DTG graph (~371 °C). The activation energy of the blend (194.98 kJ/mol) is determined to be lower as compared to EFB (257.29 kJ/mol) and WT (252.92 kJ/mol) obtained through Flynn-Wall-Ozawa (FWO) method, which indicates some form of synergism between both feedstock during copyrolysis. Thus, the blending of EFB and WT has been proven to attain synergism during pyrolysis. This finding reports a viable pathway for co-processing of biomass waste (EFB) and rubber waste (WT) while potentially able to generate valuable bio-products of alternate use. [ABSTRACT FROM AUTHOR]

Published
2021
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28. Flow Analysis of Intake Port Geometry of Spark Ignition Engine Using Simulation.

Author

Mohamad Johar, Mohammad Abdullah, Muhamad Said, Mohd Farid, Abas, Mohd Azman, Latiff, Zulkarnain Abdul, Ali, Mas Fawzi, and Nik Ibrahim, Nik Mohd Izual

Subjects
EXHAUST gas from spark ignition engines, AIR-fuel ratio, GAS mixtures, ENGINE cylinders, MASS transfer, FUEL systems, SPARK ignition engines
Abstract

The activity presented in this paper is focused on the relationship between mass flow rate and the intake port geometry in the cylinder head. Mass flow rate in this study refers to the amount of air-fuel mixture passing through the intake port per second (g/s). The mass flow in the intake port was studied with the help of the Ansys Workbench simulation. The intake port in the cylinder head is symmetrical. Thus, only half part is used for the simulation. During the simulation, the pressure of the air-fuel mixture applied to the intake port remained constant and the valve was held fixed ranging between 4 mm to 10 mm, as is typically done in superflow bench test. Then, the mass flow rate is recorded corresponding to the valve lifts. The simulation tests were carried out by using a HP workstation computer at Automotive Development Centre (ADC), Universiti Teknologi Malaysia. In this study, several modifications were made to the intake port geometry. Simulation is carried out using all intake ports. It was found that each intake port has its own mass flow rate value. One of the best intake ports in this study has an improvement of mass flow rate up to 7.1% at 8mm valve lift. The mass flow rate increase if air flow has a better attachment to the surface. Theoretically, the perfect intake port is completely straight. The straight and large diameter intake port is more suitable for high valve lifts. [ABSTRACT FROM AUTHOR]

Published
2019
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