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Ogee dam spillway is one of the cheapest, yet the most effective spillway design used in dams worldwide. It has an "S" shape profile with a varying gradient, along with its profile. With sedimentary materials used to construct ogee spillway, it is prone to soil erosion, and the 'S' shape also causes rapid energy dissipation. Various studies were done to investigate the spillway shape such as adding L-section sluice on its stilling basin, numerical studies on the spillway's flow structure, surface roughness, stabilize a hydraulic jump rate and discharge capacity based on its curvature. These review paper compile a building a scale model of the ogee spillway in the study, numerical method i.e. finite method (FEM), computational fluid dynamics (CFD) and artificial neural network (ANN). The results show that while the physical experimental study is still the standard numerical methods have improved tremendously in its accuracy, therefore discovering possibilities study to improve ogee dam spillways in a more widely and comprehensive. [ABSTRACT FROM AUTHOR]

The payload design was focusing entirely on making it easy to install based on the given circumstances. The analysis was done to ensure that the drone frame can withstand the weight of the payload, with the structure designed to be as light as possible, while maintaining the strength to carry the load. Therefore, it is needed to determine whether the drone can hold on while having the payload with the given weight. The payload design needs to be easily secured on to the drone while being able to fit in all the necessary equipment for the air quality measurement system. Numerical Method is used to design and analyze using Finite Element Analysis (FEA) method for drone frame and the payload mount. The FEA method showed the amount of stress and strains on the critical part of the body frame, and it also provides the displacement result of the analysis when the payload is secured onto the drone frame. Based on the results, the study shows that the amount of stress and strain put on the mounting is within the tolerable limits at a maximum value of 4.086e+06 and 6.153e-04 for both stress and strain, respectively. [ABSTRACT FROM AUTHOR]

It is necessary to perform an evaluation of boat performance for the boat safety of a self-developed unmanned surface vehicle (USV) boat to perform an in-situ depth measurement remotely. This paper investigates the water flow around the boat by using numerical simulation. A steady flow of water around the boat is successfully simulated using the finite volume method (FVM). Results shows that that the water flow is steady and smooth along the surface of the boat without any disturbances that may affect the boat performance and drag force also is low for this USV boat. [ABSTRACT FROM AUTHOR]

Air quality issues are a common problem for our country, especially in urban areas and construction sites. It is crucial to monitor the current ambient air quality based on the guidelines and analyze the trends of air pollutants concentration. Access to data by stationary equipment and size is a significant challenge in the monitoring and measuring air quality. The current study aims to conduct field testing to ensure the reliability of the drone payload air quality measurement device (D-PAQ). This research used an Arduino-based sensor system fitted into a box mounted onto drones, and measurements can be taken freely without air quality measurement sites' restrictions. The findings show that the device can record all the necessary air quality monitoring, especially PM2.5 and PM10. It can be concluded that D-PAQ can be used as a new air quality monitoring device, especially at challenging reach areas such as construction sites. [ABSTRACT FROM AUTHOR]