Showing papers by "SDM College of Engineering and Technology published in 2022"

Integration of Solar Photovoltaic Generation in a Practical Distribution System for Loss Minimization and Voltage Stability Improvement

Abstract: In present days, power systems are more complex and highly stressed due to rise in population, and it requires more electrical demands. Presently, the distribution losses in India are approximately 25–30%. In recent days, distributed generation (DG) units are attracting the utility and consumers to use it largely in distribution system, to get more benefit from this like reduced power losses, increased reliability and maintain voltage stability. To get more benefits from DGs, it is necessary to find out its proper size and position. In this paper, a new analytical method is used to calculate the loss sensitivity factor at the buses, which is used to find best size and location of DG to increase the performance of distribution system. The mainly used DG units are PV unit and shunt capacitor for analysis of proposed method in one of the practical feeders with 41-bus emanating from 110/11 kV Alkola substation in Shivamogga, Karnataka, India. The loss sensitivity factor method is used to find optimal position and size of DG in the practical system. Power World Simulator (PWS) software is used to model the practical feeder, and simulated results are analysed for voltage magnitude and system losses. The result indicates that optimal position and size of DG will recover the voltage profile in the system within the suitable limits, and system losses are reduced.

Application of Nanoparticles in Construction Industries and Their Toxicity

Abstract: Global development is reflected in the growth of the construction field. To improve the construction related activity and impart the beneficial essence of current technology, nanoparticles are used by the industries at different stages. The size dependent properties of nanoparticles in the construction industry is considered for enhancing material strength, crack recovery, self-cleaning applications, antimicrobial coating, energy conservation and restoration of cultural heritage. Nanoparticles used in the construction industries reach the ecosystem through multiple channels and cause environmental implications such as adverse effects on environmentally relevant microbial species, algae, plants, and entry into the food chain. The exposure to nanoparticles by human beings also causes various health implications such as DNA damage, inflammation and cell death. Therefore, it has become crucial to determine toxicity and assessment of risk during the use of nanoparticles. Their toxicity depends on chemical and physical attributes. Uniform global regulatory policy needs to be framed to assess the toxicity, risk and approval of nanoparticles in the construction industries.

Phishing Websites, Detection and Analysis: A Survey

Abstract: Phishing is the despicable utilization of electronic interchanges to trick clients. Phishing assaults resolve to increase delicate data like usernames, passwords, MasterCard information, network qualifications, and the sky is the limit from there. Phishing assaults endeavor to increase touchy, secret data, for example, usernames, passwords, charge card data, network qualifications, and then some. Phishing Websites copy the first sites so clients believe that they are utilizing the first sites. On account of phishing assaults, each individuals and associations are at threat. Phishing assaults might be forestalled by identifying the sites and serving to clients to detect the phishing sites. To distinguish the phishing sites, there have been various strategies applied. Diverse machine learning methods, information mining procedures, neural organization and different calculations have been utilized for anticipating or ordering or distinguishing the phishing sites. This paper aims at surveying on recently proposed phishing detection techniques.

A Robust BSP Scheduler for Bioinformatics Application on Public Cloud

Abstract: Aligning genomic sequences is a simple method for handling and analyzing the information in Bioinformatics. Here, the author expresses the problems related to BLAST algorithm which is used for the alignment of the sequences of biological data as the data grows huge. The current BLAST algorithm provided by National Centre of Biotechnology Information (stand-alone) cannot address biological data dynamically that are in terabytes. Many schedulers have been proposed to address this issue. The existing sequencing methodology is the one which is based on Hadoop MapReduce framework that executes in a sequential manner by consuming more time and is cost expensive. Hence, the author in this paper has achieved the BLAST-BSPMAPREDUCE (Bulk Synchronization Parallel MapReduce) algorithm by further improving the BLAST (Basic Local Alignment Search Tool) algorithm that is on the basis of Azure Cloud principles to tackle the case of serial execution in Hadoop MapReduce framework. The exploratory study which has been presented in this work demonstrates that the proposed BSPMAPREDUCE has a better coordinating speed of bioinformatics genomic sequences and achieves much higher speed over existing Hadoop-BLAST algorithm and the experiment result shows that the proposed customized scheduler is highly robust and scalable.