scispace - formally typeset
Search or ask a question
Institution

PEC University of Technology

EducationChandigarh, India
About: PEC University of Technology is a education organization based out in Chandigarh, India. It is known for research contribution in the topics: Machining & Electrical discharge machining. The organization has 998 authors who have published 1840 publications receiving 16874 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: This paper introduces an energy efficient heterogeneous clustered scheme for wireless sensor networks based on weighted election probabilities of each node to become a cluster head according to the residual energy in each node.

727 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present an overview of major advances in techniques such as minimum quantity lubrication (MQL)/near dry machining (NDM), high pressure coolant (HPC), cryogenic cooling, compressed air cooling and use of solid lubricants/coolants.
Abstract: The past century has witnessed significant advancements in turning process, cutting tools, machine controls and coolant/lubricant chemistry. These developments have particularly enhanced the machining of difficult-to-cut materials, which are used for aerospace, steam turbine, bearing industry, nuclear and automotive applications. In turning operation, friction and heat generation at the cutting zone are the frequent problems, which affect the tool life and surface finish apart from other machining results. This mechanism of heat generation plays quite a negative role during the turning of modern materials due to their peculiar characteristics such as poor thermal conductivity, high strength at elevated temperature, resistance to wear and chemical degradation. A good understanding of the methods of lubrication/cooling at the cutting zone, reduction of heat generation will lead to efficient and economic machining of these modern materials. This paper presents an overview of major advances in techniques as minimum quantity lubrication (MQL)/near dry machining (NDM), high pressure coolant (HPC), cryogenic cooling, compressed air cooling and use of solid lubricants/coolants. These techniques have resulted in reduction in friction and heat at the cutting zone, hence improved productivity of the process. A brief survey of modeling/FEA techniques is also performed.

438 citations

Journal ArticleDOI
TL;DR: In this paper, a review on the phenomenon of surface modification by electric discharge machining and future trends of its applications is presented, with particular emphasis on the potential of this process for surface modification.

432 citations

Journal ArticleDOI
TL;DR: The continuous and reversible tuning of the optical band gap of suspended monolayer MoS2 membranes is demonstrated by as much as 500 meV by applying very large biaxial strains and evidence for the strain tuning of higher level optical transitions is reported.
Abstract: We demonstrate the continuous and reversible tuning of the optical band gap of suspended monolayer MoS2 membranes by as much as 500 meV by applying very large biaxial strains. By using chemical vapor deposition (CVD) to grow crystals that are highly impermeable to gas, we are able to apply a pressure difference across suspended membranes to induce biaxial strains. We observe the effect of strain on the energy and intensity of the peaks in the photoluminescence (PL) spectrum and find a linear tuning rate of the optical band gap of 99 meV/%. This method is then used to study the PL spectra of bilayer and trilayer devices under strain and to find the shift rates and Gruneisen parameters of two Raman modes in monolayer MoS2. Finally, we use this result to show that we can apply biaxial strains as large as 5.6% across micron-sized areas and report evidence for the strain tuning of higher level optical transitions.

429 citations

Journal ArticleDOI
TL;DR: This survey paper provides an overview of techniques for analyzing and classifying the malwares and finds that behavioral patterns obtained either statically or dynamically can be exploited to detect and classify unknownmalwares into their known families using machine learning techniques.
Abstract: One of the major and serious threats on the Internet today is malicious software, often referred to as a malware. The malwares being designed by attackers are polymorphic and metamorphic which have the ability to change their code as they propagate. Moreover, the diversity and volume of their variants severely undermine the effectiveness of traditional defenses which typically use signature based techniques and are unable to detect the previously unknown malicious executables. The variants of malware families share typical behavioral patterns reflecting their origin and purpose. The behavioral patterns obtained either statically or dynamically can be exploited to detect and classify unknown malwares into their known families using machine learning techniques. This survey paper provides an overview of techniques for analyzing and classifying the malwares.

350 citations


Authors

Showing all 1027 results

NameH-indexPapersCitations
Sanjeev Kumar113132554386
Mohan Singh493138526
Arun K. Singh352684427
Manoj K. Arora341064841
Dheerendra Kumar Dwivedi301362896
Vasundhara Singh21721800
Kulwinder Kaur211071429
Navneet Arora21851675
Rakesh Kumar2055930
Vishal Thapar19314372
Sanjeev Kumar191131155
Siby John19451006
Himanshu Mishra19501113
Rajiv Kapoor191281656
Siddharth Goyal18381352
Network Information
Related Institutions (5)
Indian Institute of Technology Roorkee
21.4K papers, 419.9K citations

88% related

Indian Institutes of Technology
40.1K papers, 652.9K citations

88% related

Indian Institute of Technology Kharagpur
38.6K papers, 714.5K citations

87% related

Indian Institute of Technology Delhi
26.9K papers, 503.8K citations

86% related

Indian Institute of Technology Guwahati
17.1K papers, 257.3K citations

86% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202312
202247
2021295
2020212
2019174
2018151