Research Interests:
Research Interests:
Research Interests:
Research Interests:
Abstract Density based Spatial clustering of application with noise DBSCAN is a well-known clustering algorithm that can find clusters with arbitrary shape and handle noisy points effectively. However, DBSCAN is unable to find clusters... more
Abstract Density based Spatial clustering of application with noise DBSCAN is a well-known clustering algorithm that can find clusters with arbitrary shape and handle noisy points effectively. However, DBSCAN is unable to find clusters with varying densities. DBSCAN requires user to input the parameter Eps and Minpts to execute the algorithm, which are hard to determine and directly influence the clustering result. DBSCAN-DLP improved DBSCAN by providing the mechanism of calculating suitable value of Eps automatically for each density level. DBSCAN-DLP also recognizes clusters of different densities. However, DBSCAN-DLP still requires user to input Minpts. In this research, we have proposed an enhanced E-DBSCAN-DLP algorithm by extending DBSCAN-DLP so that it can automatically determine the most suitable value of Minpts by using the statistical characteristics of dataset. Experimental results show that EDBSCAN-DLP estimates the value of Minpts accurately when providing different dat...
Multi-radio multi-channel wireless mesh networks in recent years have become a preferredchoice for end users as they are reliable and extend the network connectivity on the last mile.MRMC-WMNs have already been deployed at various... more
Multi-radio multi-channel wireless mesh networks in recent years have become a preferredchoice for end users as they are reliable and extend the network connectivity on the last mile.MRMC-WMNs have already been deployed at various locations but still wireless mesh networkfaces link interference issues i.e. information asymmetry, near-hidden and far-hidden terminals.Information asymmetry interference is one of the major problems that degrade the capacity ofmulti-radio multi-channel wireless mesh network. To maximize the multi-radio multi-channelwireless mesh network capacity in this paper we are presenting an algebraic channel assignmentmodel that minimizes information asymmetry interference. Our proposed model optimallyassigns IEEE 802.11b/g non-overlapping channels to various links of multi-radio multi-channelwireless mesh network. The optimal channel assignment model also maximizes the overallcapacity of the multi-radio multi-channel mesh network. For extensive simulations we cons...
Research Interests:
The advent of new devices, technology, machine learning techniques, and the availability of free large speech corpora results in rapid and accurate speech recognition. In the last two decades, extensive research has been initiated by... more
The advent of new devices, technology, machine learning techniques, and the availability of free large speech corpora results in rapid and accurate speech recognition. In the last two decades, extensive research has been initiated by researchers and different organizations to experiment with new techniques and their applications in speech processing systems. There are several speech command based applications in the area of robotics, IoT, ubiquitous computing, and different human-computer interfaces. Various researchers have worked on enhancing the efficiency of speech command based systems and used the speech command dataset. However, none of them catered to noise in the same. Noise is one of the major challenges in any speech recognition system, as real-time noise is a very versatile and unavoidable factor that affects the performance of speech recognition systems, particularly those that have not learned the noise efficiently. We thoroughly analyse the latest trends in speech rec...