YMCA University of Science and Technology

About: YMCA University of Science and Technology is a education organization based out in Faridabad, India. It is known for research contribution in the topics: Web page & Web crawler. The organization has 299 authors who have published 568 publications receiving 4547 citations.

Web Based Gas Turbine System Design: A Novel Framework

Abstract: Despite of usage of computer simulation packages in a schematic Gas turbine system design environment, limited efforts havebeen carried out towards the usage of web based environments for the design of some such system. This paper presents a novel framework for web based gas turbine system design. Development of web based environment for gas turbine system designs will not only nurture the sharing potential of the information among the peer user group but also design exchange updation for existing gas turbine system designs along with its sensitivity analysis through web browser. The user interface modules as the front end and the knowledge modules with servers along with schedule of information exchange have been proposed in this paper for the gas turbine system designs.

Application of a Novel Method to Reduce Congestion in DPS Applying TCSC

Abstract: Deregulation in power systems has increased the load on transmission lines, to supply the enhanced loads. Moreover, with an increase in several generators, lines are continuously working near their thermal limits. This overloading of lines results in power loss and hence in congestion. In this paper, TCSC is implemented to mitigate congestion by reducing transmission losses. Line Utilization factor (LUF) is utilized here to get a suitable location and a hybrid of established algorithms is used to optimize the size of TCSC. A novel method to merge GWO and PSO is implemented here to take benefit of the strengths of the two algorithms. The simplicity of PSO and good convergence rate of GWO are merged here to get Hybrid GWO-PSO (HGWOPSO). LUF determines the congested lines and the location of TCSC is optimized with the help of DLUF. The size is being optimized with the proposed HGWOPSO. The proposed algorithm is validated on the IEEE 30Bus system. The results demonstrate that HGWOPSO outperforms GWO and PSO. The power loss is successfully reduced by 24.5% in contingency conditions, to mitigate congestion.

Robust Feature Extraction and Recognition Model for Automatic Speech Recognition System on News Report Dataset

Abstract: Information processing has become ubiquitous. The process of deriving speech from transcription is known as automatic speech recognition systems. In recent days, most of the real-time applications such as home computer systems, mobile telephones, and various public and private telephony services have been deployed with automatic speech recognition (ASR) systems. Inspired by commercial speech recognition technologies, the study on automatic speech recognition (ASR) systems has developed an immense interest among the researchers. This paper is an enhancement of convolution neural networks (CNNs) via a robust feature extraction model and intelligent recognition systems. First, the news report dataset is collected from a public repository. The collected dataset is subjective to different noises that are preprocessed by min–max normalization. The normalization technique linearly transforms the data into an understandable form. Then, the best sequence of words, corresponding to the audio based on the acoustic and language model, undergoes feature extraction using Mel-frequency Cepstral Coefficients (MFCCs). The transformed features are then fed into convolutional neural networks. Hidden layers perform limited iterations to get robust recognition systems. Experimental results have proved better accuracy of 96.17% than existing ANN.

Modelling and Mitigation of Open Challenges in Cognitive Radio Networks Using Game Theory

Abstract: Cognitive radio networks (CRNs) are being envisioned as drivers of the next generation of ad hoc wireless networks due to their ability to provide communications resilience in continuously changing environments through the use of dynamic spectrum access However, the deployment of such networks is hindered by the vulnerabilities that these networks are exposed to Securing communications while exploiting the flexibilities offered by CRNs still remains a daunting challenge In this survey, we put forward concerns relating to security, spectrum sensing and management, and resource allocation and performance of CRNs and model mitigation techniques using game theory Game theory can be a useful tool with its ability to optimize in an environment of conflicting interests Finally, we discuss the research challenges that must be addressed if CRNs are to become a commercially viable technology

Fabrication and microstructure study of aluminum matrix composites reinforced with SiC and B4C particulates

Abstract: In the present paper aluminum matrix composites were fabricated using base material AA6082-T6. SiC and B4C particulates were used as reinforcement to obtain hybrid and non-hybrid composites through the conventional stir casting process. AA6082-T6/SiC composites with 5, 10, 15 and 20 wt % of SiC; AA6082-T6/B4C composites with 5, 10, 15 and 20 wt % of B4C and AA6082-T6/(SiC+B4C) hybrid composites with 5, 10, 15 and 20 wt % of (SiC+B4C) taking equal fraction of SiC and B4C were made and the microstructure study was carried out. X-Ray diffraction (XRD) patterns revels the presence of reinforcement within the matrix along with some other compounds. The microstructure of the fabricated composites was examined with the help of Scanning electron microscope (SEM) and the micrographs revealed that the dispersion of reinforced particles was reasonably uniform at all weight percentages.