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To make a biological information system valuable for the life sciences community, data analytics have to provide explainable results that can demonstrate the linkages between measurable features and biological meaning of interest. Neither traditional classification nor information retrieval methods are sufficient for biomedicai applications if such linkages cannot be established. An example area is...
Sir J. Lighthill mathematical slender body swimming model formulates the biological fish propulsion mechanism (undulation) in fluid environment. The present research has focused on the relevance of Lighthill (LH) based biomimetic robotic propulsion. A 2-joint, 3-link multibody vehicle model biologically inspired by a Body Caudal Fin (BCF) carangiform fish propulsion mechanism is designed. Different...
Modeling is an important direction in systems biology. The target towards kinetic modeling for metabolic network is to develop a practical computational method which can handle incomplete parameters. In principle, we could start with a set of randomly chosen parameters; calculating fluxes and metabolites concentration and comparing with experiments; iterating until the best parameters are found. But...
The ionic permeation of a biological ion channel is a multi-particle, non-equilibrium, stochastic process. Brownian dynamics simulations for a simple electrostatic model of the calcium channel reveal regular structure in the conductance and selectivity as functions of the negative fixed charge Qf on the protein wall at the selectivity filter. This structure consists of distinct high conductance regions...
Vessel Monitoring Systems (VMSs) are mainly meant to monitor and control fishing activity in ocean areas. VMSs have been realized and used in many ways, their principal aim being the monitoring, controlling and surveillance of fishing activity. The term VMS may refer to electronic or software systems aiming at those scopes. VMSs often rely on information transmitted by vessels during navigation, which...
Genetic programming is very computationally intensive, particularly in CPU time. A number of approaches to evaluation cost reduction have been proposed, among them early termination of evaluation (applicable in problem domains where estimates of the final fitness value are available during evaluation). Like all cost reduction techniques, early termination balances overall computation cost against...
Bipedal humanoid robots will fall under unforeseen perturbations without active stabilization. Humans use dynamic full body behaviors in response to perturbations, and recent bipedal robot controllers for balancing are based upon human biomechanical responses. However these controllers rely on simplified physical models and accurate state information, making them less effective on physical robots...
This paper proposes an evaluation method for human hitting motion skill. The hitting motion is one of basic motions, in which a human often employs a tool to move or convert an object. Also, hitting skill is an important performance desired in many sports, such as tennis and baseball, and also in the field of traditional crafts, such as nailing and forging. In proposed method, the hitting skill using...
Generating appropriate responses to incoming stimuli is a fundamental task of an organism. However, in order to generate intelligent responses, it is important to have a deeper understanding of the environment, and make predictions based on this knowledge. Although the ability to make predictions is intrinsic in humans and many animals, it is still a difficult task for a machine with no in built knowledge...
In this paper, a model reduction procedure is proposed for the simplification of biochemical reaction network models. The approach is capable of reducing ODE models where the right hand side of the equations contains polynomial and/or rational function terms. The method is based on a finite number of mixed integer quadratic programming (MIQP) steps where the objective function effectively measures...
The problem of stabilization of a biped robot standing on a nonstationary plane is considered in article. Two different algorithms for solving this problem for two different robot models are given. Control goal for both robots was formulated in the same way. Not to fall, the robots have to maintain their center line of mass at center of bearing area. The first algorithm refers to a virtual model with...
This work is devoted to maximizing the production of methane in a bioreactor coupling an anaerobic digester and a culture of micro-algae limited by light. The decision parameter is the dilution rate which is chosen as a control, and we enforce periodic constraints in order to repeat the same operation every day. The system is gathered into a three-dimensional system taking into account a day-night...
Biochemical networks normally operate in the neighbourhood of its steady-state which may be of multiple in number. It may reach from one steady-state to other within a finite time. In this paper, it is shown how the biochemical network reaches to a desired steady-state within optimal time and energy, with positive control input. Control signals i.e., the independent state variables in the network,...
We consider the problem of minimizing equation for a planar curve having fixed initial and final positions and directions. The total length ℓ is free. Here s is the variable of arclength parametrization, K(s) is the curvature of the curve and ξ > 0 a parameter. This problem comes from a model of geometry of vision due to Petitot, Citti and Sarti.
The problem of exact (and global) bilinearization of nonlinear delay systems is considered for an algebraic system's function in two dimension. It is proven that a nonlinear map (bilinearizing map) can be defined on the functional space of state's trajectories such that the image-system, defined through this map, of the original system, is in general a bilinear hybrid system, evolving in the same...
We investigate a control method for HIV dynamics to boost the immune response using a model-based approach. The idea of impulsive control is discussed using a mathematical model. The HIV dynamic model includes the pharmacokinetics and pharmacodynamics of antiretroviral drugs. Consequently, the dosage of drugs are the control inputs. As they are administrated at discrete time instants this naturally...
In this paper we present a novel approach to the analysis of nonnegative dynamical systems whose vector fields are polynomial or rational functions. Our analysis framework is based on results developed and presented in a previous study on general conditions that imply non-vanishing of polynomial functions on the positive orthant. This approach is due to the sparsity of the negative terms in the polynomial,...
In this paper we address observability and reconstructibility of Boolean networks and of Boolean control networks. By resorting to the algebraic approach recently introduced by D. Cheng and co-authors [2], [4], [5], [6], we provide necessary and sufficient conditions for these properties to hold, based on the Boolean matrices involved in the network description and the corresponding digraphs.
This paper explores the effect of different types of competitive advertising policies in duopolistic dynamic models that are variants of the classical Vidale-Wolfe and Lanchester models. The firm with a perceived lower share of the market switches on an extra control effort in its attempt to get a larger share than its competitor. An analysis of the dynamics of the proposed policies is carried out,...
Aim of this paper is to develop an EMG based biofeedback system using a virtual reality platform which will help in gait rehabilitation. A low power multichannel EMG acquisition unit has been developed to acquire EMG of six different muscles of the lower limb. EMG from different channels are fused using Bayesian fusion technique and spurious data has been discarded. From the fused EMG data, we calculate...
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