Nation Plan of action for management of fishing is target to achieve an efficient, equitable and transparent management of fishing capacity in marine capture fisheries by 2018. However, several factors influence the fishery production and efficiency of marine system such as automatic fish feeder machine could be taken in consideration. Two latest fish feeder machines have been chosen as the reference for this study. Based on the observation, it has found that the both machine was made with heavy structure, low water and temperature resistance materials. This research's objective is to develop the automatic feeder machine to increase the efficiency of fish feeding. The experiment has conducted to testing the new design of machine. The new machine with maximum storage of 5 kg and functioning with two DC motors. This machine able to distribute 500 grams of pellets within 90 seconds and longest distance of 4.7 meter. The higher speed could reduce time needed and increase the distance as well. The minimum speed range for both motor is 110 and 120 with same full speed range of 255.

The concept of the screw press is to compress the fruit bunch between the main screw and travelling cones to extract the palm oil. Visual inspection, model development and simulation of screw press by using Solidworks 2016 and calculation of design properties were performed to support the investigation. The project aims to analyse different design of screw press which improves in reducing maintenance cost and increasing lifespan. The currently existing of screw press can endure between 500 to 900 hours and requires frequent maintenance. Different configurations have been tried in determination of best design properties in screw press. The results specify that screw press with tapered inner shaft has more total lifespan (hours) compared existing screw press. The selection of the screw press with tapered inner shaft can reduce maintenance cost and increase lifespan of the screw press.

This paper describes the assessment and continuous quality improvement of Programme Learning Outcomes (PLOs) in the Faculty of Mechanical Engineering and Manufacturing. PLO is known as an elementary requirement in Outcome Based Education (OBE) system. All PLOs have been mapped with graduate attributes by EAC Manual 2012. Conceptual process for establishing and reviewing PLOs has been explained in the Plan-Check-Do-Act cycle. PLO assessment has been shown in different types which classified as direct and indirect methods. Continuous Quality Improvement has been extracted from a variety of assessment and has been discussed. Seven (7) CQIs are identified using different assessment methods of PLO during years 2013 to 2016 and subsequent improvement actions have been taken by the faculty within three years.

Functional imaging, particularly SPECT Iodine-131 ablation imaging, has gained recognition as a useful clinical tool for diagnosing, treating, assessing as well as avoiding a variety of disorders, which includes metastasis. Nonetheless, SPECT imaging is conspicuously characterized by low resolution, high sensitivity, limited specificity, and a low signal-to-noise ratio. This is caused by the imaging data's visually similar characteristics of lesions amongst diseases. Concentrating on the automated diagnosis of diseases with SPECT Iodine-131 ablation imaging, in this work, three types of segmentation layers are used. This comprises a pixel classification layer, dice classification layer, and focal loss layer that will be tested to determine which segmentation layer is high for auto-segmentation lesions on SPECT Iodine-131 ablation imaging. The data preprocessing, which mostly entails data augmentation, is initially carried out to address the issue of small SPECT image sample sizes by using the geometric transformation operation. Deep Designer Network App was used to develop a 3D U-Net Convolutional Neural Network (CNN). The dice classification layer shows the highest accuracy for the thyroid uptake data set, which is 42.34, 0.7333, and 0.5789 for RMSD, DSC, and IoU, respectively. There is significance in using the dice classification layer in data sets that have various forms of ground truth labeling. On the other hand, the pixel classification layer is promising and workable for the multi-disease, multi-lesion classification task of SPECT Iodine-131 ablation imaging with a huge data set training.

Experimental Evaluation of Fish Feeder Machine Controller System