Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Highly sensitive and selective liquefied petroleum gas sensor based on novel ZnO–NiO heterostructures

Abstract: The fabrication of sensitive and selective liquefied petroleum gas (LPG) sensors is highly desirable for efficient detection of LPG. In this paper, we report fabrication of novel ZnO/NiO heterostructures for selective detection of LPG. X-ray diffraction (XRD) and Raman results indicated successful formation of ZnO/NiO heterostructures. Field emission scanning electron microscope (FESEM) results disclosed spherical shape of ZnO/NiO. The sensor based on ZnO/NiO heterostructures displayed higher sensor response, low detection limit and excellent selectivity towards 50 ppm of LPG. Interestingly, ZnO/NiO heterostructure based sensor presented elevated sensor response towards 50 ppm LPG at relatively low operable temperature. The response of ZnO–NiO heterostructures based sensor to 50 ppm of LPG was relatively higher than most of other reported LPG sensors. The excellent sensing property of present sensor towards LPG has been credited to creation of heterojunctions between ZnO and NiO nanoparticles. The gas sensing mechanism of ZnO/NiO heterostructure based sensor has been proposed and explained in detail which we claim that can be used for alarm applications with extremely high selectivity and sensitivity.

Optimizing Fraudulent Firm Prediction Using Ensemble Machine Learning: A Case Study of an External Audit

Abstract: This paper is a case study of utilizing machine learning for developing a decision-making system for auditors before initializing the audit fieldwork of public firms. Annual data of 777 firms from ...

Synthesis of Cu-doped 2D-WS₂ nanosheet-based nano-antibiotic materials for inhibiting <i>E. Coli</i> and <i>S. aureus</i> bacterial strains

Abstract: A new class of nano-antibiotic materials must be developed to treat bacterial infectious diseases. In this context, the synthesizing Cu-metal incorporated WS 2 nanosheet (Cu–WS 2 -NS)-based antibiotic materials might overcome such associated issues.

VIC-PRO: Vicinity Protection by Concealing Location Coordinates Using Geometrical Transformations in Location Based Services

Abstract: Portable devices today are striding computation potential and memory at par and sometimes even significantly higher than those found in desktop machines. Today’s lifestyle is more mobile than earlier, offices are open cafe houses and people prefer to work from plug and play office spaces. With the exponential growth of mobile technology and its users, a more astute system is in place called ‘location based services’ (LBSs). Since client uses these services out of their dynamic or static working behavior and is required to submit the real location (with query) to get the absolute benefits, it is crucial to layout the systems and frameworks which can protect users from the security and privacy threats by keeping the location information private. Existing defense mechanisms based on trusted third party possesses the significant vulnerability to vicinity identification, which in turn end up identifying the real world identity of the query issuer. In this paper, we present a scheme to preserve location privacy, called VIC-PRO, that fortifies the location privacy of the client alongside vicinity protection using geometrical transformations. We experimentally compare the scheme with other existing mechanisms to demonstrate that VIC-PRO is more efficient, safe against vicinity identification attack, and guarantees better user privacy in an LBS setup.