Institution
PEC University of Technology
Education•Chandigarh, 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.
Topics: Machining, Electrical discharge machining, Taguchi methods, Surface roughness, Wireless sensor network
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjeev Kumar | 113 | 1325 | 54386 |
Mohan Singh | 49 | 313 | 8526 |
Arun K. Singh | 35 | 268 | 4427 |
Manoj K. Arora | 34 | 106 | 4841 |
Dheerendra Kumar Dwivedi | 30 | 136 | 2896 |
Vasundhara Singh | 21 | 72 | 1800 |
Kulwinder Kaur | 21 | 107 | 1429 |
Navneet Arora | 21 | 85 | 1675 |
Rakesh Kumar | 20 | 55 | 930 |
Vishal Thapar | 19 | 31 | 4372 |
Sanjeev Kumar | 19 | 113 | 1155 |
Siby John | 19 | 45 | 1006 |
Himanshu Mishra | 19 | 50 | 1113 |
Rajiv Kapoor | 19 | 128 | 1656 |
Siddharth Goyal | 18 | 38 | 1352 |