Multi-Layer Design of IP over WDM Backbone Networks: Impact on Cost and Survivability

To address the reliability challenges due to failures and planned outages, Internet Service Providers (ISPs) typically use two backbone routers at each central office to which access routers connected in a dual-homed configuration. At the IP layer, redundant backbone routers and redundant transport equipment to interconnect them are deployed, providing reliability through node and path diversity. However, adding such redundant resources increases the overall cost of the network. Hence, a fundamental redesign of the backbone network avoiding such redundant resources, by leveraging the capabilities of an agile optical transport network, is highly desired. In this paper, we propose such a fundamental redesign of IP backbones. Our alternative design uses only a single router at each office but uses the agile optical transport layer to carry traffic to remote Backbone Routers (BRs) in order to survive failures or outages of the single local BR. Optimal mapping of local Access Routers (ARs) to remote BRs is determined by solving an Integer Linear Program (ILP). We describe how our proposed design can be realized using current optical transport technology. We evaluate network designs for cost and performability, the latter being a metric combining performance and availability. We show significant reduction in cost for approximately the same level of reliability as current designs

A METHOD AND SYSTEM FOR PROVIDING NON-VISUAL INTERACTION BASED AUTHENTICATION

The present disclosure relates to a method and system for providing non-visual interaction based authentication. Such non-visual interaction based authentication may be provided in any user equipment of a user. Moreover, such non-visual interaction based authentication may be especially provided for specially abled users which utilise accessibility features. The method includes combining non-visual interaction modalities for entering authentication pin discreetly, using buttons or other modalities available on the user equipment

A METHOD AND USER EQUIPMENT FOR PROVIDING VIBRATION BASED COMMUNICATION OF SENSITIVE INFORMATION FOR VISUALLY IMPAIRED USERS

The present disclosure relates to a method and user equipment (UE) (102) for providing vibration-based communication of sensitive information for visually impaired users (101). In the present disclosure, initially the UE (102) may receive a request from the visually impaired user (101) to access information present on a virtual card. The UE (102) detects whether the information requested corresponds to be sensitive information. Further, the UE (102) encodes the information into a vibration pattern on confirming it to be sensitive information. Finally, the UE (102) generates the encoded vibration patterns for the visually impaired users (101) to complete the transaction, wherein the visually impaired user (101) refers to an instruction manual to decode the vibration pattern

CONTINUOUS AUTHENTICATION USING ACCESSIBILITY SETTINGS AND USAGE ANALYSIS

The present invention discloses a method and system for continuous authentication using accessibility settings and usage analysis which can be used during mobile application login. An Artificial Intelligence (AI) based system, continuously captures and analyses a specially abled user’s behaviour and accessibility settings. The AI would then come up with a risk based score. This risk score will then be used to decide whether or not to skip Multi Factor Authentication (MFA)

LacSubPred: Predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches

Background: Laccases (E.C. 1.10.3.2) are multi-copper oxidases that have gained importance in many industries such as biofuels, pulp production, textile dye bleaching, bioremediation, and food production. Their usefulness stems from the ability to act on a diverse range of phenolic compounds such as o-/p-quinols, aminophenols, polyphenols, polyamines, aryl diamines, and aromatic thiols. Despite acting on a wide range of compounds as a family, individual Laccases often exhibit distinctive and varied substrate ranges. This is likely due to Laccases involvement in many metabolic roles across diverse taxa. Classification systems for multi-copper oxidases have been developed using multiple sequence alignments, however, these systems seem to largely follow species taxonomy rather than substrate ranges, enzyme properties, or specific function. It has been suggested that the roles and substrates of various Laccases are related to their optimal pH. This is consistent with the observation that fungal Laccases usually prefer acidic conditions, whereas plant and bacterial Laccases prefer basic conditions. Based on these observations, we hypothesize that a descriptor-based unsupervised learning system could generate homology independent classification system for better describing the functional properties of Laccases.Results: In this study, we first utilized unsupervised learning approach to develop a novel homology independent Laccase classification system. From the descriptors considered, physicochemical properties showed the best performance. Physicochemical properties divided the Laccases into twelve subtypes. Analysis of the clusters using a t-test revealed that the majority of the physicochemical descriptors had statistically significant differences between the classes. Feature selection identified the most important features as negatively charges residues, the peptide isoelectric point, and acidic or amidic residues. Secondly, to allow for classification of new Laccases, a supervised learning system was developed from the clusters. The models showed high performance with an overall accuracy of 99.03%, error of 0.49%, MCC of 0.9367, precision of 94.20%, sensitivity of 94.20%, and specificity of 99.47% in a 5-fold cross-validation test. In an independent test, our models still provide a high accuracy of 97.98%, error rate of 1.02%, MCC of 0.8678, precision of 87.88%, sensitivity of 87.88% and specificity of 98.90%.Conclusion: This study provides a useful classification system for better understanding of Laccases from their physicochemical properties perspective. We also developed a publically available web tool for the characterization of Laccase protein sequences (http://lacsubpred.bioinfo.ucr.edu/). Finally, the programs used in the study are made available for researchers interested in applying the system to other enzyme classes (https://github.com/tweirick/SubClPred).Peer reviewedNational Institute for Microbial Forensics and Food and Agricultural BiosecurityBiochemistry and Molecular Biolog

Heat and drought induced transcriptomic changes in barley varieties with contrasting stress response phenotypes

Drought and heat stress substantially impact plant growth and productivity. When subjected to drought or heat stress, plants exhibit reduction in growth resulting in yield losses. The occurrence of these two stresses together intensifies their negative effects. Unraveling the molecular changes in response to combined abiotic stress is essential to breed climate-resilient crops. In this study, transcriptome profiles were compared between stress-tolerant (Otis), and stress-sensitive (Golden Promise) barley genotypes subjected to drought, heat, and combined heat and drought stress for five days during heading stage. The major differences that emerged from the transcriptome analysis were the overall number of differentially expressed genes was relatively higher in Golden Promise (GP) compared to Otis. The differential expression of more than 900 transcription factors in GP and Otis may aid this transcriptional reprogramming in response to abiotic stress. Secondly, combined heat and water deficit stress results in a unique and massive transcriptomic response that cannot be predicted from individual stress responses. Enrichment analyses of gene ontology terms revealed unique and stress type-specific adjustments of gene expression. Weighted Gene Co-expression Network Analysis identified genes associated with RNA metabolism and Hsp70 chaperone components as hub genes that can be useful for engineering tolerance to multiple abiotic stresses. Comparison of the transcriptomes of unstressed Otis and GP plants identified several genes associated with biosynthesis of antioxidants and osmolytes were higher in the former that maybe providing innate tolerance capabilities to effectively combat hostile conditions. Lines with different repertoire of innate tolerance mechanisms can be effectively leveraged in breeding programs for developing climate-resilient barley varieties with superior end-use traits

Genomic insights into the 2016-2017 cholera epidemic in Yemen.

Yemen is currently experiencing, to our knowledge, the largest cholera epidemic in recent history. The first cases were declared in September 2016, and over 1.1 million cases and 2,300 deaths have since been reported1. Here we investigate the phylogenetic relationships, pathogenesis and determinants of antimicrobial resistance by sequencing the genomes of Vibrio cholerae isolates from the epidemic in Yemen and recent isolates from neighbouring regions. These 116 genomic sequences were placed within the phylogenetic context of a global collection of 1,087 isolates of the seventh pandemic V. cholerae serogroups O1 and O139 biotype El Tor2-4. We show that the isolates from Yemen that were collected during the two epidemiological waves of the epidemic1-the first between 28 September 2016 and 23 April 2017 (25,839 suspected cases) and the second beginning on 24 April 2017 (more than 1 million suspected cases)-are V. cholerae serotype Ogawa isolates from a single sublineage of the seventh pandemic V. cholerae O1 El Tor (7PET) lineage. Using genomic approaches, we link the epidemic in Yemen to global radiations of pandemic V. cholerae and show that this sublineage originated from South Asia and that it caused outbreaks in East Africa before appearing in Yemen. Furthermore, we show that the isolates from Yemen are susceptible to several antibiotics that are commonly used to treat cholera and to polymyxin B, resistance to which is used as a marker of the El Tor biotype

Balancing Cost and Reliability in the Design of Internet Protocol Backbone Using Agile Optical Networking

To address reliability challenges due to failures and planned outages, Internet Service Providers (ISPs) typically use two backbone routers (BRs) at each central office. Access routers (ARs) are connected to these BRs in a dual-homed configuration. To provide reliability through node and path diversity, redundant backbone routers and redundant transport equipment to interconnect them are deployed. However, deploying such redundant resources increases the overall cost of the network. Hence, to avoid such redundant resources, a fundamental redesign of the backbone network leveraging the capabilities of an agile optical transport network is highly desired. In this paper, we propose a fundamental redesign of IP backbones. Our alternative design uses only a single router at each office. To survive failures or outages of a single local BR, we leverage the agile optical transport layer to carry traffic to remote BRs. Optimal mapping of local ARs to remote BRs is determined by solving an Integer Linear Program (ILP).We describe how our proposed design can be realized using current optical transport technology.We evaluate network designs for cost and performability, the latter being ametric combining performance and availability. We show significant reduction in cost for approximately the same level of reliability as current designs

Cost and Reliability Considerations in Designing the Next-Generation IP over WDM Backbone Networks

To accommodate the increasing demands for bandwidth, Internet Service Providers (ISPs) have deployed higher speed links and reconfigurable optical add drop multiplexers (ROADMs) in their backbone networks. To address the reliability challenges due to failures and planned outages, ISPs typically use two backbone routers at each central office in a dual home configuration. Thus at the IP layer, redundant backbone routers as well as redundant transport equipment to interconnect them are deployed to provide reliability through node and path diversity. However, adding such redundant resources increases the overall cost of the network. Hence, a fundamental redesign of the backbone network which avoids such redundant resources by leveraging the capabilities of an intelligent optical transport network is a highly desirable objective. It is clear that such a redesign must lower costs without compromising on the reliability achieved by today’s backbone networks. Modeling the costs and reliability of the network at all layers is an important step in achieving this objective. In this paper, we undertake an in-depth investigation of the cost and reliability considerations involved in designing the next-generation backbone network. Our work includes a detailed analysis of the operation, cost and reliability of the network at the IP layer and the multiple layers below it. We discuss alternative backbone network designs which use only a single router at each central office but use the optical transport layer to carry traffic to routers at other offices in order to survive failures or outages of the single local router. We discuss trade-offs involved in using these designs