SDM College of Engineering and Technology

About: SDM College of Engineering and Technology is a based out in . It is known for research contribution in the topics: Diesel fuel & Combustion. The organization has 350 authors who have published 351 publications receiving 2399 citations.

A Novel Fuzzy Logic Based Controller for Measuring the Effectiveness of Training for Placement

Abstract: It is a well-known fact that the placements are crucial in the professional life of a graduating student. The need for high quality output from the academia necessitates the students to be equipped with the requisite skill set to be industry-ready. This paper briefs about the training sessions done at SDMCET-Dharwad, for aiding the students in campus placement drives. Also, this paper deliberates a unique approach based on fuzzy logic for measuring the effectiveness of training sessions in terms of various dimensions namely program pacing, quality of content covered and interaction with students. The fuzzy controller is built using Mamdani and Sugeno style of inference engines. The design and simulations have been done using MATLAB and Simulink softwares.

Dielectric studies on some mesogenic, non-mesogenic and organic molecules

Abstract: Two important molecular parameters, namely, the dielectric relaxation time τ and electric dipole moment are highly useful in having insight into the molecular structure, size, shape, apart from the inter- and intra-molecular forces, etc. With these in view dielectric measurements in benzene at room temperature on the pure samples of o-ethyl phenol, 2-n-butylphenol, 4-n-butylphenol, 2,6-dimethoxyphenol and 3,4-difluorophenol were carried out at a frequency of 9.98 GHz by employing concentration variation method. Similar measurements, on a single weight fraction of each of them at 9.98 GHz and also at 8.74 GHz are carried out. Measurements on a single weight fraction in benzene of each of the liquid crystal samples, namely, EPCP.car (Butyl-p-(p-ethoxy phenoxy corbonyl)-phenyl carbonate), PPPB (p-pentylphenyl-p-propyl benzonate), EPAP.Hp (p-(p-ethoxyphenyl azo) phenyl heptenate) and EPAP. Und (p-(p-ethoxyphenyl azo) phenyl undecylenate were also carried out at the said two frequencies. Using the obtained val...

A Mobile Object Based Energy Efficient Protocol for Master Node Based Wireless Sensor Networks

Abstract: We are in the era of Information technology, where voluminous information flows in the network. This information has many data sources. These data sources are resource constrained devices. In this context, mobile object plays a crucial role for data collection in Wireless Sensor Networks (WSNs). Therefore, the key challenge is to collect the sensor data from the sensors' field in an energy efficient manner. This paper proposes an algorithmic technique to control the direction of data transmission that initiates from sensor node. Thus it eliminates the need for sophisticated antenna required for setting the direction of the data transmission. The key idea of the proposed method is to control flooding. The simulation results show that the proposed mechanism enhances the network lifetime.

Parallelized genomic sequencing model: A big data approach for bioinformatics application

Abstract: Genomic sequence alignment is one of the most significant applications in bioinformatics. In future gene sequencing technologies are expected to produce terabyte of genomic data. Cloud Computing and MapReduce framework play an important role in bioinformatics intensive application in achieving parallelization since it provides a consistent performance over time and it provides good fault tolerant mechanism. The existing sequencing methodologies are based on Hadoop MapReduce Framework which adopts a serial execution strategy which is an area of concern. This work introduces a Smith-Waterman Alignment on the Parallel Azure Map Reduce (SW-PAMR) Cloud platform for bioinformatics sequence alignment. This work adopts a widely accepted and accurate Smith-Waterman algorithm for sequence alignment and parallelization methodology of Map and Reduce framework. A customised MapReduce based on Azure Cloud platform is developed to overcome the issue in Hadoop MapReduce framework. The experimental study presented in this work proves that the SW-PAMR can accurately and effectively align bioinformatics genomic sequences.

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.