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This paper is based on our previous study of automatic liver segmentation, and proposes an automatic approach for the detection of near-spherical liver tumors. Firstly, an improved variable quoit filter model is presented, which utilizes the characteristics of the ring-shaped filter to detect the rotationally symmetric structure. Secondly, in order to improve the detection performance of quoit filter,...
The economic dispatch (ED) is one ofthe important parts of power systems. ED includes the objective function(s) and constraints. Many optimization algorithms including traditional optimization methods and intelligent optimization algorithms have been applied to ED problems. However these two kinds of optimization algorithms are based on different philosophies and they are different from the simplicity...
Like other evolutionary optimization algorithms, the particle swarm optimization uses the random parameters/weights to achieve good optimization performance. Since the random parameters play important roles in the optimization procedure, it is necessary to investigate the effects of the random weights on the optimization performance. This paper investigated the effects of the random parameters on...
In this work a mathematical model is formulated for the South African demand response program which incentivizes customers to replace inefficient energy appliances with energy efficient ones. Individual customers should achieve power savings of between 1 kW to 250 kW, and energy savings of at least 2 MWh per annum. The model's objective function is to maximize the customer's benefit and energy cost...
This paper presents an optimal power control scheduling of a distributed energy system in presence of demand response. The distributed energy system comprises of a solar photovoltaic (PV) module and a battery bank storage system. A non-convex mixed binary integer programming technique is used to model flexible and inflexible smart home appliances. Two scenarios are considered in the case study. The...
A dynamic combined economic emission dispatch (CEED) problem incorporating demand response strategy is performed. The demand response optimisation problem is solved using a nonconvex mixed binary integer programming technique. Fixed and flexible loads connected to the power system network are considered in the analysis. Optimisation of the dynamic CEED problem is done using particle swarm optimisation...
In this paper, a fully automatic method was proposed for lung segmentation with juxta-pleural nodules from CT. The approach consists of three phases: skin boundary detection, rough segmentation of lung contour, and pulmonary parenchyma refinement. Firstly, chest boundary is extracted through image aligning, morphology operation and connective region analysis. Secondly, diagonal-based border tracing...
The Lévy flight was used in cuckoo search to achieve good optimization performance. Although the optimization performance of cuckoo search algorithm is good based on the Lévy flight some complicated mathematical operations should be used to realize the Lévy flight such as trigonometric function, gamma function and exponential functions, which limited the application of the cuckoo search algorithm...
The particle velocity and position updating play very important roles for achieving good optimization performance of Particle Swarm Optimization (PSO). This paper analyzed the performance of asynchronously updating PSO and synchronously updating PSO by simulation and discovered that the asynchronously updating way can achieve better optimization performance than the synchronously updating way. Moreover,...
A new particle optimization algorithm with dynamic topology is proposed based on ‘small world’ network. The technique imitates the dissemination of information in a ‘small world network’ by dynamically updating the neighborhood topology of particle swarm optimization. The proposed dynamic neighborhood strategy can effectively coordinate the exploration and exploitation ability of particle swarm optimization...
To solve the operation and control problems of islanded micro-grid better, this paper proposed a novel hierarchical control strategy according to different time scales. In the primary control, proposed a novel grid-friendly DG topology structure, the power of the islanded system is automatically shared between micro-sources. In the secondary control, the no-load frequency and voltage set points of...
At beginning of the search process of particle swarm optimization, one of the disadvantages is that PSO focuses on the global search while the local search is weakened. However, at the end of the search procedure, the PSO focuses on the local search as almost all the particles converge into small areas which could cause the particle swarm to be trapped in the local minima if no particle is found near...
This paper presents an intelligent generalized predictive controller (GPC) based on particle swarm optimization (PSO) for linear or nonlinear process with constraints. We propose several constraints for the plants from the engineering point of view and the cost function is also simplified. No complicated mathematics is used which originated from the characteristics of PSO. This method is easy to be...
To improve the performance of high-density salt and pepper noise denoising, a new detail preserving median filter algorithm is proposed in this paper. The method replaces only corrupted pixels by either the trimmed median or the average of previously processed neighborhood pixels, while uncorrupted pixels remain unchanged. Experimental results clearly show that the proposed algorithm outperforms many...
The decolorization of Reactive Red K-2BP wastewater with sponge iron was investigated through batch experiments. The decolorization process appeared to a pseudo-first order reaction. The observed first-order rate constants (kobs) varied from 0.087 to 0.033 /min with the dye concentration from 50 to 300 mg/l at 50 g/l sponge iron loading , and half-lives (t1/2) varied from 7.97 to 21 min. The decolorization...
The aim of the study was to determine the changes in the polycyclic aromatic hydrocarbons (PAHs) content during the forced-aeration composting of anaerobic digested sludge and sawdust. The content of 16 PAHs and some physical-chemical properties in composting products were monitored. Composting showed an efficient decrease of the content and the bioavailability of individual PAH. The total PAH content...
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