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6th International Conference on Civil, Offshore and Environmental engineering, ICCOEE 2020

作者： Hashlamon, Ibrahim Nikbakht, Ehsan Topa, Ameen Department of Civil and Environmental Engineering Universiti Teknologi PETRONAS Perak32610 Malaysia Institute of Transportation Infrastructure Universiti Teknologi PETRONAS Perak32610 Malaysia Department of Maritime Technology Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Terengganu21300 Malaysia

ISBN: (纸本)9789813363106

Indirect bridge health monitoring requires an instrumented vehicle with an accelerometer to scan bridge vibration. The indirect method is more practical than the conventional direct method due to its cost efficiency and mobility. However, the vehicle’s own response may pollute the recorded vertical acceleration signal. This paper utilizes a newly developed contact-point calculation method to show its efficiency to reflect the true vibration of bridges. A finite element model is developed for a vehicle placed in stationary state at mid-span of a bridge that is excited by a moving vehicle. Two cases considering different property of the stationary vehicle and different speed of the moving vehicle are developed. The contact-point response is extracted from the stationary vehicle response using MATLAB. The results show the discrepancy between the stationary vehicle and bridge responses. In contrast, good agreement between the contact-point and bridge responses is presented in the time and frequency domains. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.

关键词： Natural frequencies

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An Exploration of Charge-neutral Atmospheric Propagation Path Error Correction Method for Interferometric Radar Altimeter

An Exploration of Charge-neutral Atmospheric Propagation Pat...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： F. Su Y. Wang Y. Bai D. Sun Y. Zhang Faculty of Information Science and Engineering Ocean University of China Qingdao China Laboratory for Regional Oceanography and Numerical Modeling Laoshan Laboratory Qingdao China College of Oceanography and Space Informatics China University of Petroleum Qingdao China Hangzhou Institute of Technology Xidian University Hangzhou China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

The Interferometric Radar Altimeter (IRA) is an innovative remote sensing sensor for the ocean that can observe mesoscale and submesoscale (meso-submesoscale) ocean dynamic processes. However, the medium error is always a limiting factor for the measurement accuracy of sea surface height (SSH), from traditional nadir radar altimeter to IRA. This paper discusses a type of medium error caused by the charge-neutral atmosphere, an approximately non-dispersive medium. According to research, the charge-neutral atmospheric propagation path produces three types of SSH errors for IRA: differential delay error, path delay error, and path bending error. Since the variation of SSH at meso-submesoscale is usually at the centimeter level, the above three types of SSH errors must be corrected. However, due to the difference in the observation regime, the along-track correction method of the traditional subsatellite ZND is no longer suitable for IRA. Meanwhile, the positioning deviation in the IRA interferogram caused by line-of-sight (LOS) delay restricts the correction accuracy of the related error. Therefore, this paper proposes an iterative correction algorithm based on the spatial stochastic model (ICA-SSM) as an exploration of the charge-neutral atmospheric propagation path error correction method for IRA. The numerical simulation result combined with the system parameters of SWOT illustrates that this method can not only ensure the centimeter-level altimetry accuracy of IRA, but also suppress the distortion of ocean phenomenon caused by related errors, and improve the measurement performance of IRA.

关键词： Accuracy Atmospheric measurements Atmospheric modeling Stochastic processes Sea measurements Radar Distortion

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Study of Solar Radiation Effect on Radio Signal Using Plasma Antenna 2

Study of Solar Radiation Effect on Radio Signal Using Plasma...

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2nd International Conference on Space Weather and Satellite Application, ICeSSAT 2020

作者： Dagang, A.N. Azmi, F.S. Umar, R. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu21030 Malaysia East Coast Environmental Research Institute Universiti Sultan Zainal Abidin Kuala Nerus Terengganu21300 Malaysia

Plasma antenna can be formed by energizing glass tubes which are filled with neutral gases. It works similarly as metal antenna where it can transmit and receive wireless signal. This study aims to investigate the effect of weather focused on solar radiation towards the performance of plasma antenna represented by signal strength. Fluorescent lamp was set as plasma because it used ionized gas as its conducting element instead of metal. Execution of electrical properties measurements need to be done first, in order to obtain discharge current and voltage values, that need to be used into Glomac programming for the generation of electron temperature and electron density. Next, calculations of the plasma properties was performed to derive the value of plasma and collision frequencies. The plasma properties are important parameters to design and simulate plasma antenna using Computer Simulation technology (CST). Antenna parameters in terms of return loss, gain, directivity and radiation pattern can be simulated using CST. Signal strength experiment was conducted to evaluate plasma antenna performance in terms of its capability to capture the signals and analyse the effect of solar radiation on that particular moment through the rate of power level over time versus solar radiation data. It was observed at the highest solar radiation rate which is 920 V/m, the power level recorded is the lowest value at-172.93 dBm. Therefore, the signal strength received by the plasma antenna shows remarkable changes under the influence of solar radiation. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Solar radiation

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Light Propagation for Underwater LED as Fish Attraction Lamp

Light Propagation for Underwater LED as Fish Attraction Lamp

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Energy Efficiency in Domestic Appliances and Lighting & International Symposium on the Science and technology of Lighting (EEDAL/LS:17), Joint Conference - International Conference on

作者： Ahmad Nazri Dagang Chong Geen Jun Azhar Mohd Sinin Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu Malaysia STEM Foundation Universiti Malaysia Terengganu Kuala Nerus Terengganu Malaysia

ISBN: (数字)9782492754005

ISBN: (纸本)9781665431439

Artificial light in fisheries has been one of the most advanced and successful methods to control fish behavior for capture purposes. This study was conducted to investigate the light propagation and efficiency of the LED fish attracting lamp compared to the traditional light sources like halogen lamps and incandescent light bulbs used fishing. Three colors of LED tubes as the LED fish attracting lamp prototype were constructed, and the optical and electrical characteristics of LEDs were determined. The LEDs tubes consumed electric power of 7.25 W (blue), 6.56 W (green), 3.22 W (red), the incandescent lamp 7.05 W, and the halogen lamp 150 W of electric power. The spectrometer results show that LEDs only emit light in a narrow range of wavelengths, but the light emitted from traditional light sources such as halogen and C4 incandescent dive lamps covered all wavelengths in visible spectrums and also non-visible spectrums. The results in pool measurement showed that the light emitted from the LED tubes was distributed evenly in all directions, and the effective illuminance distance ranged from 2 m to 4 m. The blue light attenuates coefficient value is 1.5 m −1 ,1.89m −1 for the green light, and red light has the highest at 2.93 m −1 . The performance of LEDs in this study shows that they can become a future underwater illuminance light and are worth investigating further.

关键词： Filament lamps Wavelength measurement Green products Prototypes Color Light emitting diodes Fish

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The Effect of the Orientation Angle of the Small Pipe on the Scour Morphology Surrounding the Piggyback Pipeline

SSRN

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SSRN 2023年

作者： Yang, Shaopeng Guo, Yakun Yang, Lipeng Yu, Guoliang College of Ocean Science and Engineering Shandong University of Science and Technology Qingdao266590 China School of Naval Architecture Ocean &Civil Engineering Shanghai Jiao Tong University Shanghai200240 China Faculty of Engineering &Informatics University of Bradford BD7 1DP United Kingdom Qingdao Municipal Transport Development Centre Qingdao266100 China

This study employs numerical method to further elucidate the variation of local scour hole surrounding the piggyback pipeline under constant current conditions, considering the installation angle (α) of the small pipe ranging from 180° to 360°. Results reveal that a significant variation in the stagnation point of the main pipeline is observed as α ranges from 0° to 75° and from 315° to 360°, with a peak value occurring at α=60° and a minimum value at α=318°. For α varying from 180°to 360°, the scour hole is smaller than or proximate to that of the single pipe, indicating that positioning the small pipe beneath the center line of the main pipe exerts a certain inhibitory effect on scour. When α changes within range of 0°~360°, the piggyback pipeline exhibits its minimum values for local scour depth and width at α=222°. Under identical conditions, it has been observed that the scour hole resulting from positioning the small pipe above the center line of the primary pipe (α=0°~180°) is larger than when it is situated below (α=180°~360°). Similarly, the scour hole profile of the small pipe positioned upstream of the main pipe (α=270°~360°) exhibits greater dimensions compared to that located downstream (α=180°~270°). © 2023, The Authors. All rights reserved.

关键词： Numerical methods

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Metaheuristic Based IDS Using Multi-objective Wrapper Feature Selection and Neural Network Classification 2nd

Metaheuristic Based IDS Using Multi-objective Wrapper Featur...

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2nd International Conference on Advances in Cyber Security, ACeS 2020

作者： Ghanem, Waheed Ali H. M. El-Ebiary, Yousef A. Baker Abdulnab, Mohamed Tubishat, Mohammad Alduais, Nayef A. M. Nasser, Abdullah B. Abdullah, Nibras Al-wesabi, Ola A. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Terengganu Malaysia Faculty of Engineering and Faculty of Education-Aden and Saber Aden University Aden Yemen Faculty of Informatics and Computing Universiti Sultan Zainal Abidin Kuala Terengganu Malaysia School of Computing and Technology Asia Pacific University of Technology and Innovation Kuala Lumpur Malaysia Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Parit Raja Malaysia Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Pekan Malaysia National Advanced IPv6 Center Universiti Sains Malaysia Gelugor Malaysia Faculty of Computer Science and Engineering Hodeidah University Al Hudaydah Yemen

ISBN: (纸本)9789813368347

Due to the significant ongoing expansion of computer networks in our lives nowadays, the demand for network security and protection from cyber-attacks has never been more imperative to either clients or businesses alike, which signifies the key role of cyber intrusion detection systems in network security. This article proposes a cyber-intrusion detecting system classification with MLP trained by a hybrid metaheuristic algorithm and feature selection based on multi-objective wrapper method. The classifier, named as HADMLP is trained using a hybridization of the artificial bee colony along with the dragonfly algorithm. A multi-objective artificial bee colony model which is wrapper-based is used for selection of feature. Hence, collective name of the proposed technique referred as MO-HADMLP. For performance evaluation, the proposed method was assessed using ISCX 2012 and KDD CUP 99 datasets. The results of our experiments indicate a significant enhancement to the efficacy of network intrusion detection when compared to other approaches. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Multiobjective optimization

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Analysis of pruned neural networks (mobilenetv2-yolo v2) for underwater object detection 11th

Analysis of pruned neural networks (mobilenetv2-yolo v2) for...

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11th National Technical Symposium on Unmanned System technology, NUSYS 2019

作者： Ayob, A.F. Khairuddin, K. Mustafah, Y.M. Salisa, A.R. Kadir, K. Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus21030 Malaysia Department of Mechatronics Engineering International Islamic University Malaysia Kuala Lumpur50728 Malaysia Garisan Automotive Sdn. Bhd. Cyberjaya Malaysia

ISBN: (纸本)9789811552809

Underwater object detection involves the activity of multiple object identification within a dynamic and noisy environment. Such task is challenging due to the inconsistency of moving shapes underwater (i.e. goldfish) within a very dynamic surrounding (e.g. bubbles, miscellaneous objects). The application of pre-trained deep learning classifiers (e.g. AlexNet, ResNet, GoogLeNet and so on) as the backbone of several object detection algorithms (e.g. YOLO, Faster-RCNN and so on) have gained popularity in recent years, however, there is a lack of attention on the systematic study to reduce the size of the pre-trained neural networks hence speeding up the object detection process in the real-world application. In this work, we investigate the effect of reducing the size of the pre-trained MobileNetV2 as the backbone of the YOLOv2 object detection framework to construct a fast, accurate and small neural network model to perform goldfish breed identification in real-time. © Springer Nature Singapore Pte Ltd 2021.

关键词： Object detection

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Spatio-Temporal Air Pollutant Characterization for Urban Areas

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Journal of Geoscience and Environment Protection 2022年第1期10卷 218-237页

作者： Nurainshafika Sahak Arnis Asmat Noor Zaitun Yahaya School of Chemistry and Environment Faculty of Applied Sciences Universiti Teknologi MARA Selangor Malaysia Climate Change & Carbon Footprint Research Group Universiti Teknologi MARA Selangor Malaysia Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Malaysia

Urban pollution has now become increasingly recognized as an important determinant of air pollution in developed countries. The effect of urban air pollution in developing countries, on the other hand, has not been adequately addressed in the data Spatio-temporal time series. Thus, this study was intended to characterize the effect of urbanization on air pollution for an urbanized Klang Valley, Malaysia using Spatio-temporal data from 2008 to 2017. The Air Pollution Index (API) data and local pollutant concentration were employed to establish the links between urban air pollution. The analysis will be supported by determining the source of pollutants during the study period using Principal Component Analysis (PCA). The study identified that Carbon monoxide (CO), Nitrogen Dioxide (NO₂), and Ozone (O₃) are the major air pollution that has contributed to degrading air quality in the Klang Valley due to the vehicles, combustion process, and industries.

关键词： Urban Pollution Air Pollution Index (API) Spatio-Temporal Characterization Source of Pollutants Inverse Distance Weighted (IDW) Principal Component Analysis (PCA)

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Synthesis and characterization of hydrophobic properties of silicon dioxide in palm oil based bio-coating

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Materials Today: Proceedings 2022年 51卷 1415-1419页

作者： Siti Noor Hidayah Mustapha Muhd Nazrin Md Nizam Mohamad Ismail Mohamad Isa Rasidi Roslan Rohani Mustapha Faculty of Industrial Sciences and Technology Universiti Malaysia Pahang Lebuhraya Tun Razak 26300 Gambang Kuantan Pahang Malaysia School of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu 21030 Kuala Nerus Kuala Terengganu Malaysia

This research aims to synthesize a biobased polyurethane coating from epoxidized palm oil (EPO) and determine the effect of different silicon dioxide (SiO 2 ) loadings on the hydrophobicity performance of the coating. In this work, EPO was firstly undergoing an acrylation reaction and followed by the addition of isophorone diisocyanate (IPDI) to form Polyurethane (PU). Improvement was made by adding SiO 2 at different loadings into the palm oil-based PU to provide hydrophobic properties to the coating materials. The sample was characterized using Fourier Transform Infrared Spectroscopy (FTIR), water sliding angle test, and water absorption test. Based on the FTIR results, PU was successfully synthesized from EPO with SiO 2 addition. The results also proved that the addition of SiO 2 successfully improved the hydrophobicity of the coating. The higher the SiO 2 content in palm oil PU, the shorter the time taken for the water to slide down the 25° angle coated glass and lower the water absorption percentage of the coating material. Based on the analysis, 3 phr SiO 2 content showed the highest hydrophobicity performance, which could be applied in further research.

关键词： Hydrophobic Silicon dioxide Palm Oil Bio-coating

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The Possible Equivalent Value Set for Incomplete Data Set 23rd

The Possible Equivalent Value Set for Incomplete Data Set

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23rd International Conference on Computational Science and Its Applications, ICCSA 2023

作者： Mamat, Rabiei Mustafa, Asma Nor, Ahmad Shukri Mohd Herawan, Tutut Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Kuala Nerus Terengganu Malaysia Sekolah Tinggi Pariwisata Ambarrukmo Yogyakarta Jalan Ringroad Timur No. 52 Bantul Daerah Istimewa Yogyakarta55198 Indonesia AMCS Research Center Jalan Griya Taman Asri Yogyakarta55512 Indonesia Institute for Big Data Analytics and Artificial Intelligence UiTM Shah Alam Selangor Darul Ehsan Shah Alam40450 Malaysia

ISBN: (纸本)9783031371073

Incomplete or missing data is a significant challenge in real-world information systems that can lead to flawed decision-making. The rough set theory has limitations when dealing with incomplete information systems, and researchers have proposed alternative approaches. This paper proposes a new similarity relation that utilises probable equivalent value sets to improve the accuracy of incomplete information systems. The approach enhances the quality of decision-making and provides reliable results. Experiments conducted on various datasets with different levels of missing data show that the approach can improve the accuracy of incomplete information processing by up to 90%. Compared to existing methods, the proposed approach can handle both categorical and continuous attributes, address problems of non-uniqueness and redundancy of probable equivalent value sets, and is not dependent on any specific data distribution. In conclusion, the proposed technique provides an effective solution to the challenges of incomplete information systems. By using probable equivalent value sets, the approach improves the accuracy of incomplete information processing and enhances the quality of decision-making. It has potential for applications in data science and related areas, and further research is needed to explore its limitations and applicability to real-world problems. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Rough set theory

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