The power unit on board the ship generates periodic low-frequency vibration that affects normal operation of equipment board, and adaptive feedforward control algorithm can effectively suppress such harmful noise. But needs to obtain identification model secondary channels, frequency domain least squares method based linear Extended auto-regressive (ARX) is difficult with nonlinear characterist...

In wireless rechargeable sensor networks (WRSNs), a novel approach to energy replenishment is offered by the utilization of mobile chargers (MCs), which charge nodes via transfer technology. However, previous research on charging schemes has commonly prioritized efficiency as performance index, neglecting importance quality sensing coverage (QSC). As network scale increases, MC’s power becomes ...

A method is proposed to address the challenging issue of load prediction in user-level integrated energy systems (IESs) using a composite VTDS model. Firstly, an IES multi-dimensional time series decomposed into multiple intrinsic mode functions (IMFs) variational decomposition (VMD). Then, each IMF, along with other influential features, subjected data dimensionality reduction and clustering d...

This paper establishes a hybrid distributed phased array multiple-input multiple-output (PA-MIMO) radar system model to improve the target detection performance by combining coherent processing gain and spatial diversity gain. First, signal space configuration for PA-MIMO are established. Then, novel likelihood ratio test (LRT) detector is derived based on Neyman–Pearson (NP) criterion in fixed...

The aim of this research was to enhance the classification accuracy of an electronic nose (E-nose) in different detecting applications. During the learning process of the E-nose to predict the types of different odors, the prediction accuracy was not quite satisfying because the raw features extracted from sensors' responses were regarded as the input of a classifier without any feature extract...

The multiple-choice multidimensional knapsack problem (MMKP) is a well-known NP-hard that has many real-time applications. However, owing to its complexity, finding computationally efficient solutions for the MMKP remains challenging task. In this study, we propose Modified Artificial Bee Colony algorithm (MABC) solve MMKP. MABC employs surrogate relaxation, Hamming distance, and tabu list enha...

Medical image segmentation is a key step towards medical image analysis. The objective of medical image segmentation is to delineate Region Of Interests (ROI) from the images. Hybridization of nature inspired algorithms with soft computing provides accurate image segmentation results in less computation time. In this work, various algorithms for medical image segmentation which help medical pra...