M. Abdul Mottalib

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ABSTARCT Many distributed computations involving the sharing of resources among various processes require that a resource be allocated to a single process at a time. Therefore, mutual exclusion is a fundamental problem in any distributed computing system. This problem must be solved to synchronize the access to shared resources in order to maintain their(More)
— Neural network is one of the successful methods for protein secondary structure prediction. Day to day this technology is modified, improved, even other methods also combined with it to get better result. In this paper we trained feed-forward neural network with proteins for secondary structure prediction. Using Java Object Oriented Neural Engine (JOONE)(More)
ABSTARCT This paper presents an algorithm for scheduling applications in large-scale, multiuser distributed systems. The approach is primarily targeted at systems that are composed of general-purpose workstation networks. Scheduling decisions are driven by the desire to minimize turnaround time while maintaining fairness among competing applications and(More)
  • M A Mottalib, Md, Ali-Al Mamun, Reazul Hoque, Md Ehsanuzzaman, Jonayed Kaysar
  • 2011
Peer-to-peer live video streaming systems are having more popularity as the information technology is advancing fast. Peer-to-peer live video streaming systems are like peer-to-peer file sharing system and they are also vulnerable to content pollution attack as file sharing. In this type of attack, the attacker mixes polluted or unnecessary data into the(More)
This paper presents the recognition features of Bengali text using BAM (Bidirectional Associative Memories) neural network with a proposal of feature extraction procedure of a Bengali character. To do this, the conventional methods are used for text scanning to segmentation of a text line to a single character. In this paper an efficient procedure is(More)
Predicting the class of gene expression profiles helps improve the diagnosis and treatment of diseases. Analysing huge gene expression data otherwise known as microarray data is complicated due to its high dimensionality. Hence the traditional classifiers do not perform well where the number of features far exceeds the number of samples. A good set of(More)
Neural network is one of the successful methods for protein secondary structure prediction. Day to day this technology is modified, improved, even other methods also combined with it to get better result. In this paper we trained feed-forward neural network with trans-membrane protein for helix prediction. Using Java Object Oriented Neural Engine (JOONE)(More)
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