The harsh seawater environment provides a corrosive medium to all structures built from metallic materials that operate within this environment. Due to its mechanical strength, ease of manufacture, formability, and lo...
The harsh seawater environment provides a corrosive medium to all structures built from metallic materials that operate within this environment. Due to its mechanical strength, ease of manufacture, formability, and low cost, 3C steel is the most widely used structural material in various sectors. However, the corrosion problem cannot be avoided due to its interaction with seawater. Furthermore, due to the extensive range of parameters regulating the rate, predicting the corrosion rate of 3C steel structures in the marine environment is challenging. Hence, corrosion rate modelling improves better understanding in terms of corrosion behaviour. In this study, the corrosion rate prediction of 3C steel in seawater was conducted via an artificial neural network (ANN). This study aims to establish a corrosion current density prediction of 3C steel influenced by different seawater environment parameters. The data came from previous studies that looked at dissolved oxygen, salinity, pH value, temperature, and oxidation-reduction potential to see how these affected the corrosion rate of 3C steel in seawater. Three training algorithms were proposed in Multi-Layer Perceptron (MLP), which are Levenberg Marquardt (LM), Bayesian Regularization (BR), and Scaled Conjugate Gradient (SCG). The results show that the LM algorithm is the best training algorithm in this study according to its performance indicator represented by high regression, R, and low mean square error (MSE) value.
Nano particle - new technology additives used within biodiesel fuel have been developed through generations in order to improve diesel engines (DE) performance while reducing the emission causing the environmental pol...
Nano particle - new technology additives used within biodiesel fuel have been developed through generations in order to improve diesel engines (DE) performance while reducing the emission causing the environmental pollution. This comprehensive review is conducted to investigate the effect of nano particle additives on biodiesel fuel in diesel engines. Due to high demand in increasing the emission standards especially from International Maritime Organization (IMO), it has captivated the authors interest in developing the use of nano particle towards biodiesel fuel because of the ability to reduce exhaust emission of diesel engines. The results show the addition of nano particles in B20 and were auspicious where it reduced carbon oxide (CO), nitrogen oxide (NOx), low heat release rate (HRR), and lower brake thermal efficiency (BTE). Altogether, the authors have compiled several research papers that contain overview of biodiesel fuel, types of nano particle, effect on exhaust emission and diesel engine performance, and lastly advantages of using nano particles in biodiesel fuel. Hence, the findings are provided for future research opportunities and clear understanding of nano particle technology in improving DE fuel performance.
T-way testing is a sampling strategy that generates a subset of test cases from a pool of possible tests. Many t-way testing strategies appear in the literature to-date ranging from general computational ones to meta-...
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Space weather is driven by solar activities by pulling out the variety of phenomenon such as solar flare and coronal mass ejection (CMEs). It been discovered the CMEs and solar flares have causes disturbance at near-E...
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This paper presents a computational fluid dynamics (CFD) simulation to predict thrust coefficient (KT), torque coefficient (KQ) and efficiency (η) in open-water condition, whilst a hydrodynamic description around the...
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Many recent cases of illegal activities have been reported regarding the video and all the unlawful activities designed to destroy the originality of the video data. A slight modification can alter the meaning and int...
Many recent cases of illegal activities have been reported regarding the video and all the unlawful activities designed to destroy the originality of the video data. A slight modification can alter the meaning and intent of the video. Nowadays, many devices have gained the power of tapping or capturing digital video, and all these videos can be approved over the internet and many other unsafe channels. Therefore, the detection o of video authentication proving is a widespread and critical problem in various areas such as criminal, forensic investigations, and court cases. The preceding study proposed numerous techniques to ensure the authentication of video data and structure. This study emphasized retrieving a video structure to detect an alteration made in the video using shot boundary detection to prove authentication. The detection of shot boundary is a complicated task and is usually utilized for structured video because these techniques can identify modifications made with a fundamental shot change frequency. This study focuses on retrieving a video structure to detect an alteration made in the video by detecting shot boundary to prove authentication. The detection of shot boundary is a complicated task and is usually utilized for structured video because these techniques can identify modifications made with a regular shot change frequency. Furthermore, this study aims to develop a new model for video authentication detection using the shot boundary detection method, which is considered the practical tool to track down the originality based on their fundamental structure.
Genetic algebra is a (possibly non-associative) algebra used to model inheritance in genetics. This paper investigates the existence of non-associative and derivation of genetic algebra related to some operators gener...
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The use of metal oxide as an n-type semiconductor behavior is one of the important material in solar cells. Among the materials, these researches focus on perovskite structure of CaMnO3. The single phase of CaMnO3 syn...
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Aesthetic refers to the theoretical study of beauty and taste. It is an essential part in attracting the interest of users as it could sway the users’ first impression of the object and may well be the deciding facto...
Aesthetic refers to the theoretical study of beauty and taste. It is an essential part in attracting the interest of users as it could sway the users’ first impression of the object and may well be the deciding factor in getting the user attention. Aesthetic is utilized in many fields including the education field such as learning via mobile platform, called mobile learning (m-learning). M-learning refers to the use of portable or mobile devices in education. In today’s environment, m-learning is an integral part in learning and is indispensable. From the higher education to the primary school, m-learning is used in various learning activities for example as the medium for assignment or for note archive. The availability of the mobile devices such as mobile phone and tablet today initiate the prospect of development for many new learning applications. Thus, this study intent to investigate the design principles used in existing mobile applications based on the literature reviews of previous studies. The findings of this study are the list of the design principles applied in those previous studies. Overall, this finding will enable to highlight the design principles that usually used in mobile applications and the effect on the usage of the application itself.
The spatial earth data are the sets of data that have values in latitude, longitude and altitude. Due to the satellite’s measurement errors, these data are classified as uncertainty data. In order to solve this probl...
The spatial earth data are the sets of data that have values in latitude, longitude and altitude. Due to the satellite’s measurement errors, these data are classified as uncertainty data. In order to solve this problem, a new geometric model using Pythagorean Fuzzy Sets (PFSs) is proposed. From the previous researches, the uncertainty data can be expressed in Fuzzy Sets (FSs) but then still they are not able to handle the hesitation or incompleteness in data that lead to the development of Intuitionistic Fuzzy Sets (IFSs). These IFSs use the degree of membership and non-membership and able to handle hesitancy. Nevertheless, if the sum of membership and non-membership degrees is greater than one, IFSs cannot be used in this circumstance. Therefore, the PFSs are fit for this issue. Then, Pythagorean Fuzzy Bézier is introduced in this paper to overcome uncertainty in the complex spatial data sets by using Bézier Approximation for curve and surface.
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