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Problem statement: Solving the state assignment problem means finding the optimum assignment for each state within a sequential digital circuit. These optimum assignments will result in decreasing the hardware realization cost and increasing the reliability of the digital circuit. Unfortunately, the state assignment problem belongs to the class of(More)
Automatic clustering of unstructured documents has become an essentially indispensible task, especially when dealing with the increasing electronic documents. Automatic clustering of documents involves document designation to a subgroup based on its content. K-means is one of the most popular unsupervised clustering algorithms, though the quality of its(More)
This paper presents a model to observation the Cloud computing for any anomalous activity. Hadoop it is a largely used open source Cloud Computing framework to huge data. It uses the model Machine Learning technique to detect classify anomalies of sensory observation and help to in ensuring the stabilization of virtual sensor networks. The framework it's(More)
This paper aims at developing a system that is capable of classifying Arabic and English un-structured documents; it proposes to classify these documents in consecutive two phases. In the first phase, incremental Automated Domain-Meta-Document Construction (ADC) algorithm is applied as a new automated machine learning approach. ADC constructs updatable(More)
Due to the structure of metro railway systems, most of its planning problems including timetabling are classified as optimization problems. Timetabling is the problem of assigning times for events such as departure and arrival of trains over the planning time horizon. As modern metro systems try to provide customer centric services, it is required that the(More)
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