Himanshu Agrawal

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Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The paper presents a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed methodology is connection of two stages – Feature extraction using principle component(More)
Data migration has become a priority in many industries, spawned by a variety of business needs. Most of the existing tools for Extract, Transform and Load (ETL) process of data migration are piece-meal and do not present a complete solution. Moreover, while research has focused on the problem of Schema Mapping, a key step in the ETL process, most of the(More)
Part-Of-Speech (POS) tagging is defined as the Natural Language Processing (NLP) task in which each word in a sentence is labeled with a tag indicating its appropriate part of speech. Of the entire supervised machine learning classification algorithms, second order Hidden Markov Model (HMM) and Conditional Random Fields (CRF) is chosen in this work for POS(More)
This paper addresses the problem of retrieval from graph databases. Graph databases store graph structures instead of tables. Typically, graph databases are applicable in domains that require storage and retrieval of structural information. One of the main issues in graph databases is retrieval of member graphs based on structure matching. Structure(More)
Wireless Sensor Networks need energy efficient protocol for carrying out various operations. Cooperation among nodes may save significant energy by avoiding retransmission from distant nodes. In this work, a new scheme has been suggested for LEACH based WSN by introducing cooperation among various cluster heads. Significant improvement in BER has been(More)
In this paper, we propose a simple video summarization system based on removal of similar frames and the maintenance of unique frames. It tries to capture the temporal content of the frame and to output the video with a length specified by the user. It aims at eliminating similar frames by a process of clustering where similar frames are clustered into one(More)
In this paper, we focus on routing problem in the face of variation in traffic demands. We implement a Robust Routing algorithm (RRT) with an aim of satisfying networking goals such as load balancing, routing robustness to the range of traffic demand matrices or to the traffic changes caused by uncertain traffic demands. We conduct simulation experiments on(More)
Next generation Internet applications provide guaranteed end-to-end quality-of-service (QoS). Optimization based on constraints for QoS routing is computationally complex and for this reason many heuristics have been proposed for routing in a practical situation. Among these delay constrained least cost (DCLC) routing is popular. In this paper we propose an(More)
This paper introduces the Hybrid Architecture of Dynamic Spectrum Allocation in the hierarchical network combining centralized and distributed architecture to get optimum allocation of radio resources. It can limit the interference by interacting dynamically and enhance the spectrum efficiency while maintaining the desired QoS in the network. This paper(More)