Ripeness classification of oil palm fresh fruit bunches (FFBs) during harvesting is important to ensure that they are harvested optimum stage for maximum production. This paper presents the application color vision automated ripeness FFB. Images FFBs type DxP Yangambi were collected and analyzed using digital image processing techniques. Then features extracted from those images used as inputs Artificial Neural Network (ANN) learning. The performance ANN FFB was investigated two methods:...

This paper presents a comparison between data from single modality and fusion methods to classify Tualang honey as pure or adulterated using Linear Discriminant Analysis (LDA) Principal Component (PCA) statistical classification approaches. Ten different brands of certified were obtained throughout peninsular Malaysia Sumatera, Indonesia. Various concentrations two types sugar solution (beet cane sugar) used in this investigation create samples 20%, 40%, 60% 80% adulteration concentrations....

Fusion of X-band Doppler radar and infrared sensors can offer a great advantage for close proximity time-to-collision (TTC) prediction in the field autonomous robot navigation due to precise obstacle speed detection direction sensing. Nevertheless, poor ranging performance from may result owing fluctuating reflectivity moving obstacle. The TTC accuracy also be further degraded when obstacle's trajectory is non-parallel robot's heading uncertainty radar's radiation pattern which typically...

A photovoltaic (PV) system is composed of a PV panel, controller and boost converter. This review article presents critical review, contributing to better understanding the interrelationship all these internal devices in system, their respective layouts, fundamental working principles, architectural effects. The panel power-generating device. an electronic device that controls circulating circuits collect as much output possible from solar panel. converter intermediate regulates based on...

Landslide is one of the natural disasters that cause property damages and human injuries. hazard predictions are crucial measures to reduce losses. One effective approaches in landslide prediction susceptibility analysis (LSA). In this article, LSA carried out on study area, Penang Island. The imbalanced dataset most important issue be solved four resampling methods were compared for training set using random forest (RF) as basic model. To enhance credibility results, experiments replicate...

This research paper proposes a hybrid Whale Optimization Algorithm (WOA) variant based on Equilibrium Optimizer (EO), named (EWOA). The major finding lies in an efficient hybridization of bio-inspired and physics-based (EO) metaheuristic algorithms. Upon mathematical modelling, EWOA main architecture that combines WOA's encircling net-bubble attacking mechanisms via EO's weight balance strategy. proposed algorithm was tested 23 classical, 28 constrained CEC 2017, 30 unconstrained 10 2019,...

From the environmental conservation perspective, warm mix asphalt is more preferable compared to hot asphalt. This because can be produced and paved in temperature range 20–40°C lower than its equivalent In terms of cost‐effectiveness, significantly improve mixture workability at a thus reduce greenhouse gas emissions, environment friendly. However, concern, which challenging asphalt, susceptibility moisture damage due reduced production temperature. may cause adhesive failure, could...

This paper presents the ripeness classification of oil palm fresh fruit bunch (FFB) using artificial neural network (ANN). ANN method was used to automate decision grading plam FFBs, replacing manual human method. A total 80 FFB samples from unripe, underripe, ripe and overripe categories were collected. Images obtained a color digital camera their analyzed image processing techniques. Then features extracted those images. These as input parameters for learning. The performance measured by...

This paper presents novel research on the development of a generic intelligent oil fraction sensor based Electrical Capacitance Tomography (ECT) data. An artificial Neural Network (ANN) has been employed as system to sense and estimate fractions from cross-sections two-component flows comprising gas in pipeline. Previous works only focused estimating pipeline fixed ECT parameters. With design sensors, an neural can be trained deal with data particular parameters, hence is not generic. work...

An induction motor is the most commonly used in industry today. Motor circuit parameters are essential for designing, evaluating performance, and controlling applications of motor. However, it difficult to measure electric parameters, e.g., resistance reactance, motors accurately. Therefore, researchers have noted parameter estimation as an optimization problem. The artificial bee colony (ABC) algorithm efficient element bioinspired algorithms has been successfully applied numerous...