Pritom Ahmed

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In this paper, we revisit the much studied problem of Pattern Matching with Swaps (Swap Matching problem, for short). We first present a graph-theoretic model, which opens a new and so far unexplored avenue to solve the problem. Then, using the model, we devise two efficient algorithms to solve the swap matching problem. The resulting algorithms are(More)
Designing an automatic pattern recognition system is a challenging task. However, despite the design challenges, its enormous application potentials have attracted the attention of researchers and developers over the last four to five decades. Design of recognition systems for handwritten character applications has been a subject of intensive research, and(More)
The Brain Computer Interface (BCI) systems enable unblessed people to operate devices and applications through their mental activities. It is believed that the BCI technology should be a blessing for the unblessed persons who may be suffering from severe neuromuscular disorders. So in this paper, we present a review on the progress of research efforts and(More)
The paper presents a comprehensive survey on International system for EEG (Electroencephalography) signal acquisition. The paper also explored various neuro-imaging techniques and EEG based neurological phenomenon applied for the development of BCI systems extremely useful for able bodied and disabled people. From the survey it is concluded that P300 signal(More)
In this paper, we critically analyze the success of the traditional reliability models built to measure and estimate software reliability. We further propose that a Finite State Automata (FSA) based reliability model can serve as a befitting solution to all existing software reliability challenges. The proposed model estimates actual system reliability at(More)
This paper investigates P300 features extracted through wavelet transform for BCI systems. Feature extraction is one of the key issues of signal processing for P300 based brain-computer interface systems (BCI). This paper examines and highlights the significance of using wavelets in P300 based BCI systems. We also mention various methods of feature(More)
Unconstrained offline handwritten numeral recognition is a challenging problem. It is very difficult to find high recognition results using a single classifier. This paper presents a simple profile, combined local & global features and majority voting scheme classifier for unconstrained handwritten numeral recognition. The simple profile feature is(More)
276 Abstract—A Hospital Management System (HMS) streamlines hospital operations, enhances administration and control, provides better patient care, strictly controls operational costs and helps in improving many other functionalities. Besides it a HMS should be able to respond to evolving requirements. Unfortunately, a HMS developed using conventional(More)
The software requirements gathering process can be automated using intelligent agents. Such agents can be created to capture the requirements, as and when they may evolve during the requirements elicitation, analysis and negotiations, specification, documentation and validation phases. In this paper we present an intelligent agent-based model for e-learning(More)