Ramadoss Janarthanan

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Generating inferences from a gene regulatory network is important to understand the fundamental cellular processes, involving gene functions, and their relations. The availability of time-series gene expression data makes it possible to investigate the gene activities of the whole genomes. Under this framework, gene interaction is explained through a(More)
This paper aims at laying a foundation towards the development of a robust platform for efficient control of the motion of autonomous mobile robots. Electroencephalographic (EEG) signals liberated during motor imagery of a human controller have been used to design the control mechanism. The proposed scheme can find widespread applications in the defense(More)
Particle swarm optimization (PSO) is extensively used for real parameter optimization in diverse fields of study. This paper describes an application of PSO to the problem of designing a fractional-order proportional-integral-derivative (PID) controller whose parameters comprise proportionality constant, integral constant, derivative constant, integral(More)
In classical Q-learning, the Q-table is updated after each state-transition of the agent. This is not always economic. This paper provides an alternative approach to Q-learning, where the Q-value of a grid is updated until a Boolean variable Lock associated with the cell is set. Thus the proposed algorithm saves unnecessary updating in the Q-table.(More)
The paper provides a novel approach to control the motion and orientation of a mobile robot using an encoded sequence of arm movements, obtained from the motor imagery indicated by electroencephalographic measurements. The importance of the proposed scheme lies in maintaining secrecy and privacy in control or management of remote robotic systems, as the(More)
The paper presents an exponential pheromone deposition approach to improve the performance of classical ant system algorithm which employs uniform deposition rule. A simplified analysis using differential equations is carried out to study the stability of basic ant system dynamics with both exponential and constant deposition rules. A roadmap of connected(More)
Generating inferences from a gene regulatory network is important to understand the fundamental cellular processes, involving gene functions, and their relations. The availability of time-series gene expression data makes it possible to investigate the gene activities of the whole genomes. Under this framework, gene interaction is explained through a(More)