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Identification of the most successful strategy for applications in tissue engineering is often confusing, with a wide variety of options and variables available, that can fit into an ideal graft or scaffold. The complexity of the problem is multifold in application of grafts for regeneration of peripheral nerve injuries, with many variables that affect the regeneration process and thereby the success...
Nonlinear problems are arising more and more often in searching for an approximate solution. One of these nonlinear problems is the boundary value problem. Most researches focus on the existence of positive solutions with the help of nonlinear analysis tools such as topological indices, critical point theory, etc, and the effective searching of an approximate solution is indeed an interesting problem...
A collective construction task require a multi-robot system to search for randomly distributed building blocks and push those blocks to some predefined locations. To address this problem, a bio-inspired swarm intelligence based algorithm is proposed for a distributed multi-robot system to combine explorative searching and dynamic task allocation together for collective construction. Basically, a virtual...
This paper presents a new object tracking algorithm that embeds swarming particles into generic particle filter framework to achieve more robustness and flexibility. Firstly a group of particles associated with potential solutions are initialized in a high-dimensional space. Then particle swarm optimization (PSO) is used to drive particles flying. The object is tracked when the particles reach convergence...
This paper presents a new object tracking algorithm by using the particle swarm optimization (PSO), which is a bio-inspired population-based searching algorithm. Firstly the potential solutions of the problem are projected into a state space called solution space where every point in the space presents a potential solution. Then a group of particles are initialized and start searching in this solution...
Some common issues exist in the bio-inspired algorithms for a multi-robot system include considerable randomness of the robot movement during coordination and unevenly distributed robots in a multi-task environment. To address these issues, a self-adaptive distributed multi-task allocation method in a multi-robot system is proposed in this paper. In this method, each robot only communicates with its...
Distributed coordination is critical for a multi-robot system in hazardous waste cleanup under a dynamic environment. To achieve higher efficiency as well as robustness, a bio-inspired local interaction via virtual stigmergy (LIVS) coordination approach is proposed in this paper. This new meta-heuristic integrates two mechanisms - stigmergy-based autocatalytic mechanism and particle swarm optimization...
This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the behaviors of social insect in the nature. A cascade of boosted classifiers based on Haar-like features is trained and employed to detect objects. To improve the searching efficiency, first the object model is projected into...
The advanced protein profiling technologies can simultaneously resolve and analyze multiple proteins. Evaluating multiple proteins will be essential to establish signature proteomic patterns that distinguish cancer from non-cancer. It is desirable to have complex and intelligent analytical tools to detect the changes in protein expression and their correlation to diseases conditions. This paper proposed...
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