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In this paper, flexible AC transmission system (FACTS) devices are optimally allocated in a power network to achieve optimal power flow (OPF) solution. The location of FACTS devices and the setting of their control parameters are optimized by a bacterial swarming algorithm (BSA) to improve the performance of the power network. Two objective functions are simultaneously considered as the indexes of...
Noise removal is an underlying issue of image processing. This paper proposes a generic approach to design an optimal filter which combines linear and morphological filtering techniques, so that both Gaussian and non-Gaussian noise can be rejected. The optimisation process is performed by a bacterial swarming algorithm (BSA), which is derived from the bacterial foraging algorithm (BFA) and involves...
This paper presents a dynamic bacterial swarming algorithm (DBSA) for harmonic estimation in dynamic environment. DBSA is designed from a dynamic searching framework that combines the underlying mechanisms of bacterial chemotaxis, quorum sensing and environment adaptation. The harmonic estimation process utilizes DBSA to estimate the phases of the harmonics, alongside a least square (LS) method to...
Magnetotactic bacteria (MTB) can be controlled by an externally applied magnetic field. Their fast migration speed and quick response time, along with their capability to achieve 4 pN thrust force, make them well suited for micro-bio-actuators and bio-carriers. Here, we use conventional methods of microlithographyto construct a microfluidic device to evaluate the activity of MTB in microchannels....
This paper proposes a novel micro-carrier based on magnetotactic bacteria (MTB). To confirm the feasibility of such carriers, the thrust force of the bacteria is evaluated. By measuring the swimming speed of MC-1 bacteria in an unbounded medium, a thrust of 4 pN generated by a single MC-1 bacterium is found. The effects on the MTB's swimming speed under the control of micro-electromagnets and influenced...
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