Visual Simultaneous Localization and Mapping Using Direct-Based Method for Unmanned Aerial Vehicle (UAV)

The Direct Sparse Odometry (DSO) technique is a new form of visual odometry that makes use of a direct and sparse structure to achieve precision. In this project, the objective is to apply the DSO algorithm on the Unmanned Aerial Vehicle (UAV) application. The main studies in this project are focusing on the experimentation for DSO algorithm parameter setting. Another objective is to evaluate the parameter and performance of DSO algorithm. The data evaluation was based on three different environments in the university campus. In this project, the Realsense D435i camera was applied to the RDDRONE-FMUK66 with interface of the Raspberry Pi 3 B+ model to capture the data. This project managed to analyze suitable point values on the active points and gradient parameter setting. The same parameter configuration which concerns on point density and keyframe management have been experimented in the three environment. From this project it is concluded that DSO on UAV can be improved in order to gain a stable data processing to be applied in the algorithm

Application of air ionizer to remove electrostatic discharge (esd) dust for plastics material in automotive painting process

In the painting production process, repairing of painted defects by running the part through repeat process, together with the essential requirement of quality control routines, contribute for a very large proportion for the operating costs. The dust and fibre defects which ranged between 40% and 50% found to be the highest rejection in of the local painting line manufacturer. Both defect not only affected the visual appearance but also the of the parts performance. The objective of this research is to explore the effectiveness of the air ionizer device to reduce the electrostatic value of the painted material that attract the foreign particle to fall into painted surface. By doing so, the rejection contributes by dust and fibre particle in the automotive painting can be reduce. The ionizer is an effective application to replace the conventional methods which applied the air blow process to remove dust and fibre particle before painting process. The experiment has been conducted by measuring the electrostatic value of the raw material before and after the ionizer treatment. The correlation between the static value and the production pass rate also has been examined. The result shows 0.34% reduction of the fibre particle after the implementation of the ionizer device

Evaluation of air flow pattern for conceptual design of automotive painting line using computational fluid dynamic (cfd) for better dust particle reduction

In the painting production process, repairing of paint work defects by running the part through repeat process, together with the essential requirement quality control routines, account for a very large proportion of the operating costs .The dust and fibre defects is ranged between 40% and 50% and found to be the highest rejection from one of the local industry painting line. Hence that, this research is focused to study the effectiveness of simulating this painting line using Computational Fluid Dynamic (CFD) method to identify the air flow and turbulence pattern which may help to understand the particle concentration and movement in the painting line. Six mechanical designs of ventilation system was proposed in order to study the particle movement and concentration to this automotive painting line. From here, the best design which suite the objective of minimizing the particle concentration and its dissipation into the painted part are justified. Hence, improvement action such as layout arrangement and mechanical design are factors involved to overcome and minimize the foreign particle from fall down into the parts during the painting process. The result from this study may also be a benchmarking for future design of new automotive painting line

How to strongest la-nina affected the equatorial tropics? Global analysis in 2010 with trmm satellite data

This study analyzed the rainfall pattern changes in humid tropics at 3-hourly scale during the strongest La-Nina event ever using Tropical Rainfall Measuring Mission (TRMM) satellite. At present the evidences had showed that the rainfall are changing and increasing in general in the tropics. However, specific characteristics of change including rate, quantity, and pattern was less elaborated. This parameters are critical to us in understand the changes, the cause, and most importantly figure out an appropriate method to adapt for the future scenarios. To anticipate the aforementioned issue, we had initiated the analysis to determine; 1) the trend of rainfall changes (events, quantity and spatial size) and 2) the rate of rainfall changes. The number of different rainfall events are determined to inform us the trend of impact of the La-Nina. On the other hand, the changes of rainfall quantity and spatial size primarily the increment cases would provide us with quantitative information how much the changes had occurred in specific areas and how large is the extent; whether it is a synoptic scale event or it was the aftermath effect at microscale. Finally, the rate of rainfall changes informed us how quick is the changes happen. The output from all the analyses will be used to classify types of impact that experienced by different parts of humid tropics; the most affected region by this La-Nina event

Semen antioxidant study in male patients at East Coast Malaysia

Reactive oxygen species (ROS) is believed to be one of the factors that cause male infertility. Antioxidants in the seminal plasma plays important role in protecting sperm from ROS. The purpose of this study is to determine the antioxidants level in semen sample in male patients without antioxidant treatment at IIUM Fertility Centre, Malaysia. A total of 43 semen samples were taken and seminal fluid analysis (SFA) test was performed according to WHO 1999 guideline. Patients were 234 divided into two groups; normozoospermia and oligozoospermia. Semen samples were then stored in liquid nitrogen at 196 ?C using standard preservation technique. The samples were thawed and centrifuged to separate the seminal plasma and the sperm. The antioxidant levels of Vitamin C and Vitamin E in seminal plasma were measured using the spectrophotometer. Descriptive statistic was done for SFA to summarize the result of sperm parameters and antioxidant levels. It is shown in this study that the level of antioxidants, both Vitamin E and Vitamin C, are higher in the normozoospermia samples compared to the oligozoospermia samples (p<0.05). There is a positive correlation between the sperm concentration and the level of antioxidants

How has Malaysia benefited from the high-resolution satellite rainfall? Trends, gaps and further research opportunities

This paper presents a scientific review on how Malaysia has benefited from the high-resolution satellite rainfall since its first launch in 1998. As a tropical country in which the environment is highly characterised by rainfall dynamics, public domain access of high-resolution satellite rainfall data could be very useful to support the hydrologic and related environmental studies. The scope of this paper includes achievements, the trend of studies, as well as gaps and future opportunities for scientific research. Examining this element is crucial in determining the present information on the status quo of the applications of space-based technology to Malaysian hydrologic research. Furthermore, this information is critical to charter the future action for the policymakers and revision of respective disciplines, including climate change, environmental sustainability, disaster resilience, food security, and education. Based on the search throughout the largest scientific databases of Web of Science and Scopus, five major trends have been identified. Those trends were ranked based on the number of research, 1) Satellite rainfall data performance and quality evaluation (40%), 2) Satellite rainfall data as input to environmental modelling (27%), 3) Rain fade & telecommunication (16%), 4) Satellite rainfall data quality improvement (7%), and 5) Rainfall studies. These trends were identified about 11 years after the satellite rainfall project started in 1998. The major achievement till now is validating the accuracy of the satellite rainfall and also downscaling it for local application