1871. Analysing security checkpoints for an integrated utility-based information systemSunil K. Muttoo, Rajan Gupta, Saibal K. Pal, 2016, published scientific conference contribution Abstract: With the rising digital medium, the various digital applications are rising too. These applications can work in the private domain or public domain depending upon the environment and features. Of late, the public infrastructure in India is improving and thus digitisation of the services and processes are making it better for the government to function. Lots of new services and applications are planned through desktop-and mobile-based information systems. But any information system requires a good security cover for it to function correctly and efficiently. One such new system was proposed for integrating the various utility systems in Delhi, NCR, for which various security checkpoints are discussed in this paper. These are related to database security, network security, cryptography, and the user authentication process. These checkpoints will be helpful in making the newly proposed information system more secure and will also be helpful in analysing the need and scope of new security features in it. Security concerns are analysed at different levels of the information system and suggestions are made for the system which can be implemented in the currently proposed system. These suggestions can also be used in other similar systems as well as for improving and enhancing security at various levels.
Keywords: information systems, integrated utility system, database security, network security, data security, information system security, e-governance
Published in RUNG: 15.07.2021; Views: 2117; Downloads: 10
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1872. Comparative analysis of epidemiological models for COVID-19 pandemic predictionsRajan Gupta, Gaurav Pandey, Saibal K. Pal, 2021, original scientific article Abstract: Epidemiological modeling is an important problem around the world. This research presents COVID-19 analysis to understand which model works better for different regions. A comparative analysis of three growth curve fitting models (Gompertz, Logistic, and Exponential), two mathematical models (SEIR and IDEA), two forecasting models (Holt’s exponential and ARIMA), and four machine/deep learning models (Neural Network, LSTM Networks, GANs, and Random Forest) using three evaluation criteria on ten prominent regions around the world from North America, South America, Europe, and Asia has been presented. The minimum and median values for RMSE were 1.8 and 5372.9; the values for the mean absolute percentage error were 0.005
and 6.63; and the values for AIC were 87.07 and 613.3, respectively, from a total of 125 experiments across 10 regions. The growth curve fitting models worked well where flattening of the cases has started. Based on region’s growth curve, a relevant model from the list can be used for predicting the number of infected cases for COVID-19. Some other models used in forecasting the number of cases have been added in the future work section, which can help researchers to forecast the number of cases in different regions of the world.
Keywords: epidemic modeling, machine learning, neural networks, pandemic forecasting, time-series forecasting
Published in RUNG: 15.07.2021; Views: 2323; Downloads: 33
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1873. 1,8-dihydroxy naphthalene (DHN) - melanin confers tolerance to cadmium in isolates of melanised dark septate endophytesMateja Potisek, Matevž Likar, Katarina Vogel-Mikuš, Iztok Arčon, Jože Grdadolnik, Marjana Regvar, 2021, original scientific article Abstract: The contribution of 1,8-dihydroxy naphthalene (DHN) melanin to cadmium (Cd) tolerance in two dark septate
endophytes (DSE) of the genus Cadophora with different melanin content was investigated in vitro. The DSE
isolate Cad#148 with higher melanin content showed higher tolerance to Cd than the less melanised Cad#149.
Melanin synthesis was significantly reduced by Cd in both isolates with uninhibited melanin synthesis, in a dosedependent
manner. Inhibition of melanin synthesis by tricyclazole reduced the relative growth of Cad#148
exposed to Cd and did not affect Cad#149. Cd accumulation was not altered by tricyclazole in the two isolates,
but it increased catalase and reduced glutathione reductase activity in more melanised Cad#148, indicating
higher stress levels. In contrast, in Cad#149 the enzyme activity was less affected by tricyclazole, indicating a
more pronounced role of melanin-independent Cd tolerance mechanisms. Cd ligand environment in fungal
mycelia was analysed by extended EXAFS (X-ray absorption fine structure). It revealed that Cd was mainly bound
to O- and S-ligands, including hydroxyl, carboxyl, phosphate and thiol groups. A similar proportion of S- and Oligands
(~35% and ~65%) were found in both isolates with uninhibited melanin synthesis. Among O-ligands
two types with Cd-O-C- and Cd-O-P- coordination were identified. Tricyclazole altered Cd-O- ligand environment
in both fungal isolates by reducing the proportion of Cd-O-C- and increasing the proportion of Cd-O-P coordination.
DHN-melanin, among other tolerance mechanisms, significantly contributes to Cd tolerance in more
melanised DSE fungi by immobilising Cd to hydroxyl groups and maintaining the integrity of the fungal cell wall.
Keywords: DSE, melanin, Cd tolerance, inhibitor tricyclazole, antioxidant enzymes, EXAFS
Published in RUNG: 13.07.2021; Views: 2131; Downloads: 0
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