ICFAI University, Dehradun

About: ICFAI University, Dehradun is a education organization based out in Dehra Dūn, India. It is known for research contribution in the topics: Network packet & Quality of service. The organization has 72 authors who have published 80 publications receiving 679 citations.

A review of modern technologies for tackling COVID-19 pandemic.

Abstract: Objective Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight against COVID-19 crisis at different scales, including medical image processing, disease tracking, prediction outcomes, computational biology and medicines. Methods A progressive search of the database related to modern technology towards COVID-19 is made. Further, a brief review is done on the extracted information by assessing the various aspects of modern technologies for tackling COVID-19 pandemic. Results We provide a window of thoughts on review of the technology advances used to decrease and smother the substantial impact of the outburst. Though different studies relating to modern technology towards COVID-19 have come up, yet there are still constrained applications and contributions of technology in this fight. Conclusions On-going progress in the modern technology has contributed in improving people’s lives and hence there is a solid conviction that validated research plans including artificial intelligence will be of significant advantage in helping people to fight this infection.

Securing cloud computing environment against DDoS attacks

Abstract: Cloud computing is becoming one of the next IT industry buzz word However, as cloud computing is still in its infancy, current adoption is associated with numerous challenges like security, performance, availability, etc In cloud computing where infrastructure is shared by potentially millions of users, Distributed Denial of Service (DDoS) attacks have the potential to have much greater impact than against single tenanted architectures This paper tested the efficiency of a cloud trace back model in dealing with DDoS attacks using back propagation neural network and finds that the model is useful in tackling Distributed Denial of Service attacks

Pyramiding of two bacterial blight resistance and a semidwarfing gene in Type 3 Basmati using marker-assisted selection

Abstract: A traditional Type 3 Basmati rice cultivar grown in India is tall and lodges even under low nitrogen fertilizer dose. In addition to lodging, it is highly susceptible to several diseases and pests including bacterial blight (BB). BB resistance genes (Xa21 and xa13) and a semidwarfing gene (sd-1) were pyramided in Type 3 Basmati from a rice cultivar PR106-P2 using marker-assisted selection (MAS). Foreground selection for BB resistance genes, Xa21 and xa13 and reduced plant height gene, sd-1 was carried on the basis of linked molecular markers pTA248, RG136 and ‘h’, respectively. The BC2F3 progenies with both the BB resistance genes were highly resistant with lower lesion length than either of the genes individually. Background profiling of the selected 16 BC2F3 progenies was done using 95 anchored SSR and 12 ISSR markers. Among the selected 16 BC2F3 progenies, 38-5-2 and 38-5-36 closely clustered along with the recipient parent Type 3 Basmati showing above 85% genetic similarity with the same. Further selection was continued till F5 generation for higher recovery for Type 3 Basmati characteristics. The desirable alleles of intermediate amylose content (wx) and aroma (fgr) loci of Type 3 Basmati were also tracked using the linked SSR markers. The BC2F5 pyramid lines T3-4, T3-5, T3-6 and T3-7 homozygous for the three target genes Xa21, xa13 and sd-1 from the donor parent with wx and fgr alleles of Type 3 Basmati had excellent cooking quality and strong aroma.

Exploring the role of the spouse in expatriate failure: a grounded theory-based investigation of expatriate' spouse adjustment issues from India

Abstract: This paper applied the grounded theory method in a study of the expatriates' spouses' relocation adjustment process and the impact of such adjustment problems in expatriate failure. A qualitative enquiry approach using open-ended questions in the form of personal interviews was adopted. Iteratively, the questions were changed to reach theoretical saturation and we allowed the respondents to lead us through the data collection process during our eventual theory development process. An action diagram technique was used to help structure and process the data. The study was conducted with 26 Indian origin spouses who had to encounter relocation issues one time or the other. We found the spouses' perceived gender role ideology to play a critical part in their adjustment process. Other factors that influenced the adjustment process in expatriate assignments were personality factors such as extraversion, organizational and family support, country demographics and pre-departure training.

FPGA-Based High-Performance and Scalable Block LU Decomposition Architecture

Abstract: Decomposition of a matrix into lower and upper triangular matrices (LU decomposition) is a vital part of many scientific and engineering applications, and the block LU decomposition algorithm is an approach well suited to parallel hardware implementation This paper presents an approach to speed up implementation of the block LU decomposition algorithm using FPGA hardware Unlike most previous approaches reported in the literature, the approach does not assume the matrix can be stored entirely on chip The memory accesses are studied for various FPGA configurations, and a schedule of operations for scaling well is shown The design has been synthesized for FPGA targets and can be easily retargeted The design outperforms previous hardware implementations, as well as tuned software implementations including the ATLAS and MKL libraries on workstations