Delhi Technological University

About: Delhi Technological University is a education organization based out in New Delhi, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 4427 authors who have published 6761 publications receiving 71035 citations. The organization is also known as: Delhi College of Engineering & DTU.

Email Spam Detection Using Machine Learning Algorithms

Abstract: Email Spam has become a major problem nowadays, with Rapid growth of internet users, Email spams is also increasing. People are using them for illegal and unethical conducts, phishing and fraud. Sending malicious link through spam emails which can harm our system and can also seek in into your system. Creating a fake profile and email account is much easy for the spammers, they pretend like a genuine person in their spam emails, these spammers target those peoples who are not aware about these frauds. So, it is needed to Identify those spam mails which are fraud, this project will identify those spam by using techniques of machine learning, this paper will discuss the machine learning algorithms and apply all these algorithm on our data sets and best algorithm is selected for the email spam detection having best precision and accuracy.

Crowd Sourcing a New Paradigm for Interactome Driven Drug Target Identification in Mycobacterium tuberculosis

Abstract: A decade since the availability of Mycobacterium tuberculosis (Mtb) genome sequence, no promising drug has seen the light of the day. This not only indicates the challenges in discovering new drugs but also suggests a gap in our current understanding of Mtb biology. We attempt to bridge this gap by carrying out extensive re-annotation and constructing a systems level protein interaction map of Mtb with an objective of finding novel drug target candidates. Towards this, we synergized crowd sourcing and social networking methods through an initiative ‘Connect to Decode’ (C2D) to generate the first and largest manually curated interactome of Mtb termed ‘interactome pathway’ (IPW), encompassing a total of 1434 proteins connected through 2575 functional relationships. Interactions leading to gene regulation, signal transduction, metabolism, structural complex formation have been catalogued. In the process, we have functionally annotated 87% of the Mtb genome in context of gene products. We further combine IPW with STRING based network to report central proteins, which may be assessed as potential drug targets for development of drugs with least possible side effects. The fact that five of the 17 predicted drug targets are already experimentally validated either genetically or biochemically lends credence to our unique approach.

Impact of information sharing on competitive strength of Indian manufacturing enterprises: An empirical study

Abstract: – The purpose of this paper is to find the effect of different types of information sharing on the competitive strengths of the Indian manufacturing enterprises., – The paper is based on the responses received from the Indian manufacturers to a questionnaire based survey. Statistical analysis has been done to identify the relationship with the type of information sharing and the competitive strengths of the manufacturing enterprises., – It is observed that information sharing has significant impact on the competitive strengths of the manufacturer in order winning parameters like cost effectiveness and service level., – The paper reflects Indian manufacturing perspective and only positive impacts of the information sharing has been discussed in the paper., – The paper verifies that the various types of information sharing can lead firms to acquire different competitive strengths. Managers should focus on right information sharing in their way to enhance particular competitive strength.

Repetitive Controller for VSIs in Droop-Based AC-Microgrid

Abstract: A major requirement of ac-microgrid is to keep on feeding its connected load at regulated voltage and frequency, which is difficult to achieve especially in inverter-based microgrid. In modern distribution system, most of the loads are nonlinear in nature and draw harmonic current. The variable load with the nonlinear characteristics may distort the output voltage and degrade the power quality. In order to mitigate the negative impact of these disturbances on the output voltage, a novel repetitive controller (RC) has been proposed. A mixed-sensitivity-based approach is used here to design the RC and the comparison of performance with nonlinear load is shown with a conventional proportional plus integral regulator. The overall microgrid system is designed and simulated with the help of various toolboxes available in MATLAB/SIMULINK. Furthermore, a scaled hardware prototype of microgrid consisting of two voltage source inverter is developed and controlled using RC in real time with the help of field programmable gate array (FPGA).