Chandigarh University

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

Security Issues in Vehicular Ad-Hoc Network(VANET)

Abstract: Over the years, area of Vehicular Ad-hoc Network(VANET) attained vast interest and research initiatives is also increased due to the range of solutions it can provide. Information safety is considered as most critical issue in any network system and it also the case in VANET. In VANETs wireless conversation between automobiles thus attackers breach confidentiality, privacy, and authenticity properties which impact further protection. This paper presents the safety challenges and existing threads in the VANET system. This paper focus on basic security requirements which must be fulfilled for securing VANETs. Different classes of VANET attacks are also discussed in this paper.

Structural, optical and magnetic properties of Gadolinium-doped ZnO nanoparticles

Abstract: Zn1−xGdxO (x = 0, 2, 5, 10, 15 %) nanoparticles were synthesised by sol–gel method and analysed for their structural, morphological, optical and magnetic properties. X-ray diffraction confirms formation of hexagonal wurtzite single phase of the synthesized nanoparticles. Transmission electron microscopy shows that they have spherical morphology; UV–Vis spectroscopy shows that they undergo red shift; energy dispersive technique reveals that they have the prerequisite elements in the stoichiometry ratio; and, vibrating sample magnetometer depicts that they have room temperature ferromagnetism, which, further, enhances upon Gd-doping.

Cation distribution: a key to ascertain the magnetic interactions in a cobalt substituted Mg–Mn nanoferrite matrix

Abstract: The effect of Co2+ substitution into nanocrystalline Mg-Mn ferrite synthesized by a solution combustion technique has been studied. The cation distribution has been inferred from X-ray diffraction, the magnetization technique, and Mossbauer spectroscopy. The X-ray analysis and cation distribution data have been used to investigate the detailed structural parameters such as hopping lengths, ionic radii of tetrahedral and octahedral sites, oxygen positional parameter, site bond as well as edge lengths, bond lengths, and bond angles. The variation in the theoretically predicted bond angles suggested the strengthening of the A-B super-exchange interactions, and the same has been supported by M-H and M-T, as well as by Mossbauer studies. The ZFC-FC study revealed that anisotropy increases with the incorporation of cobalt ions. The values of magneton number, theoretical lattice parameter, and Curie temperature that have been calculated by using the cation distribution are found to match well with the experimentally obtained values.

A Statistical Analysis of Impact of COVID19 on the Global Economy and Stock Index Returns

Abstract: The outbreak of pandemic COVID-19 across the world has completely disrupted the political, social, economic, religious, and financial structures of the world. According to the data of April 22nd, 2020, more than 4.6 million people have been screened, in which the infection has made more than 2.7 million people positive, in which 182,740 people have died due to infection. More than 80 countries have closed their borders from transitioning countries, ordered businesses to close, instructed their populations to self-quarantine, and closed schools to an estimated 1.5 billion children. The world’s top ten economies such as the United States, China, Japan, Germany, United Kingdom, France, India, Italy, Brazil, and Canada stand on the verge of complete collapse. In addition, stock markets around the world have been pounded, and tax revenue sources have fallen off a cliff. The epidemic due to infection is having a noticeable impact on global economic development. It is estimated that by now the virus could exceed global economic growth by more than 2.0% per month if the current situation persists. Global trade may also fall from 13 to 32% depending on the depth and extent of the global economic slowdown. The full impact will not be known until the effects of the epidemic occurred. This research analyses the impact of COVID-19 on the economic growth and stock market as well. The aim of this research is to present how well COVID-19 correlated with economic growth through gross domestic products (GDP). In addition, the research considers the top five other tax revenue sources like S&P500 (GPSC), Crude oil (CL = F), Gold (GC = F), Silver (SI = F), Natural Gas (NG = F), iShares 20 + Year Treasury Bond (TLT), and correlate with the COVID-19. To fulfill the statistical analysis purpose this research uses publically available data from yahoo finance, IMF, and John Hopkins COVID-19 map with regression models that revealed a moderated positive correlation between them. The model was used to track the impact of COVID 19 on economic variation and the stock market to see how well and how far in advance the prediction holds true, if at all. The hope is that the model will be able to correctly make predictions a couple of quarters in advance, and describe why the changes are occurring. This research can support how policymakers, business strategy makers, and investors can understand the situation and use the model for prediction.