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Rapid separation and transfer of target cells from heterogeneous mixture to desired region have become a key issue in many biomedical applications. In this paper, we propose an approach to high speed cell transfer for sorting rare cells from a small population of samples accurately using a robotic manipulation system equipped with optical tweezers. A novel switching geometrical model is established...
In this study, we design an electrically activated sucker that can handle workpieces with rough and uneven surface. The new sucker uses a motor to drive blades to form rotation flow in a shell, and the rotation flow generates cupped negative pressure distribution and resulting suction force. Different from the existing suckers, in the new sucker, the rotation flow is formed closely to the upper surface...
The growing interest in predictive maintenance makes industrials and researchers turning themselves to artificial intelligence methods for fulfilling the tasks of condition monitoring and prognostics. Within this frame, the general purpose of this paper is to investigate the capabilities of an Evolving extended Takagi Sugeno (exTS) based neuro-fuzzy algorithm to predict the tool condition in high-speed...
In this paper, two temporal models, Hidden Markov Model and Auto Regressive Moving Average model with exogenous inputs (ARMAX), are used for health condition monitoring of the cutter in a milling machine. Dataset is acquired through real time force signal sensing. A heuristic statistical approach is used to select dominant features, leading to the selection of 3 dominant features from the 16-dimensional...
In this paper, four data-driven classification approaches, that is, K-nearest neighbors (K-NN), self-organizing map (SOM), multi-layer perceptron (MLP), and Bayesian Network classifier (BNC), are applied to a health condition monitoring problem for the wearing cutter. The dataset is produced from a cutting machine using force sensing. A genetic algorithm (GA) based search is performed to select 3...
A necessary step to building effective writing skill training system requires developing good methods for modeling human skill adequately. A number of groups have represented character information in various languages for writing skill based on trajectory information. These methods are often data intensive, tedious to implement and do not encode force information. To overcome these restrictions a...
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