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A novel Step Size based Recursive least squares- Least mean fourth(SSRL) adaptive algorithm is proposed as a noise canceller, in this paper, to eliminate the Ocular artifacts(OAs) from the recorded raw EEG signals. Here, both second and fourth-order power optimization algorithms have been used to eliminate the OAs from raw EEG signals. The Reference signals, such as vertical Electrooculogram and horizontal Electrooculogram signals, have been recorded separately.FIR filter has been used to process the reference signals by updating filter coefficients using the proposed SSRL algorithm. Thereby, true EEG signals are obtained by subtracting the processed signals from the raw signals. Moreover, a mathematical model for the mean square deviation analysis is proposed for the SSRL algorithm, which provides better results compared to the conventional methods. [ABSTRACT FROM AUTHOR]

• The proposed algorithm can extract the ocular artifacts effectively from the raw EEG data compared to that of existing algorithms. • The proposed algorithm obtained least mean square deviation compared to existing second and fourth order algorithms. • The algorithm proved that the computational complexity has less than conventional algorithms. • The algorithm can be extended to more than two reference signals. • The output of the proposed algorithm can be utilized in subsequent stages of Brain Computer Interface. In this paper, a novel algorithm is proposed to eliminate the ocular artifacts (OAs) using mixed step size normalized least mean fourth adaptive algorithm from the raw EEG signals. Here, the fourth-order power optimization technique is used to eliminate the OAs effectively. The reference signals, such as vertical electrooculogram and horizontal electrooculogram, are recorded separately. Thereby, these signals are processed by the FIR filter, whose coefficients are adaptively updated at each iteration by using the proposed algorithm. The processed signals are subtracted from the raw EEG signals in order to obtain clean EEG signals. In addition, the mathematical model for the mean square deviation analysis is provided and compared with conventional methods like combined step size normalized least mean squares and variable parameter normalized mixed norm adaptive algorithm. From the simulation results, it is found that the proposed algorithm exhibits better performance in terms of minimum mean square deviation. [ABSTRACT FROM AUTHOR]

An Elastic or flexible-grid Optical Network (EON) is an emerging technology for efficient resource utilization. In this paper, a Weight distributed service provisioning (WDSP) algorithm for routing and spectrum assignment (RSA) based on a request for a connection is proposed. This novel technique for spectrum allocation based on the demands of the connection request reduces the blocking of connections due to improper spectrum assignment. The connection requests are classified into two categories based on demand: small and large connection requests. The smaller size connection requests are assigned to the lower index slots, and the larger size connection requests are assigned to the highest index slots. By implementing this approach, a relatively large number of connection requests can be handled via the availability of a large set of contiguous slots. The simulation results illustrate that the proposed algorithm is relatively more efficient due to enhanced blocking performance; effective spectrum efficiency can be achieved. [ABSTRACT FROM AUTHOR]

Tremendous growth of traffic in Vehicular Ad hoc NETworks (VANET) in recent days leads into enormous delay in data transfer. To overcome this, we use Software Defined Vehicular Networks (SDVN) as a promising solution with reliable multi-hop cooperative data dissemination (MHCDD) for data traffic forwarding in the network of end to end connectivity. In SDN based system, data forwarding in a road side unit is through cooperatively data dissemination. The intermittent connectivity in VANET dynamically changes because of the vehicular mobility, thereby causing SDN and RSU controller to link/connection failures. However, in multi-hop data traffic forwarding from source to destination node through RSU and SDN switches in which controllers control the data traffic for Virtual Network Customization (VNC). In this paper, we introduce Software defined-VANETs (SD-VANETs) to improve the network resource utilization by providing the network connectivity for dynamic network topology. Here, we analyze the network model using M/M/1 and M/M/m queueing models, which are proposed to effectively minimize the delay and enhance the throughput in multi-server queueing system of the SDVN. To achieve this, we propose a novel solution with enhancement of the SDVN system reliability in terms of service rate which is based on service level agreement. [ABSTRACT FROM AUTHOR]