Bishop Heber College

About: Bishop Heber College is a based out in . It is known for research contribution in the topics: Thin film & Band gap. The organization has 548 authors who have published 692 publications receiving 7144 citations.

Comparative Analysis On Various Workload Balancing Algorithms With The Proposed Time Based Load Balancer (Tblb) Algorithm For Efficient Resource Management In An Academic Cloud Computing Environment

Abstract: Resource Management plays a vital role in Cloud Computing. Especially in an academic scenario, the usage of cloud must be in an optimum manner. Effective usage of cloud resources helps to avoid the underutilization and overutilization of the virtual machines at an IAAS (Infrastructure as a Service) level.Workload must be analysed and need to be distributed evenly among all virtual machines available on host machines. Proper balancing and distribution of workload helps to attain the effective resource management in an Academic Cloud Environment. In an academic scenario, usage of resources are predefined. Hence allocation of resources could be done in an effective manner.This paper deals with the analysis of various load balancing algorithms that is used to load and schedule a workload in an academic cloud environment. Based on the performance metrics, analysis of various load balancing algorithms carried out using Cloud Analyst Simulator. Various performance metrics of each load balancing algorithm is discussed and analysed in a simulated environment.

Issues and Challenges in Determining Quality of Service Requirements in Wired, Wireless and Mobile Networks

Abstract: The Quality of Service (QoS) is a set of service requirements to be met by the network. The set of service requirements are determined by many levels of QoS building blocks such as the user, application, infrastructure, standard, regulator, etc. These levels increase the complexity in providing QoS. In other words, QoS requirements must be carefully mapped from user-level to application-level, application-level to infrastructural-level, infrastructure-level to standard-level, etc. Apart from intra-network level mapping, there is a need for inter-network level mapping as data may travel via heterogeneous networks such as wired, wireless and mobile networks. Here, intra-network denotes within single network and inter-network denotes between networks. The challenges involved in mapping QoS requirements from wired network to wireless network to mobile network and vice versa are inevitable. The outcome of this chapter throws light on the issues and challenges involved in intra-network and inter-network levels.

Application of Integrodifferential Equations Using Sumudu Transform in Intuitionistic Trapezoidal Fuzzy MAGDM Problems

Abstract: Decision-making is a most powerful, well-organized, civic, and pecuniary effect. Power to produce logical and correct choices is the burden of any decision process imbued with uncertainty. In offices where the information or the data is of the form of intuitionistic trapezoidal fuzzy numbers, to construct the MAGDM problem, intuitionistic trapezoidal fuzzy weighted geometric (ITFWG) and intuitionistic trapezoidal fuzzy hybrid geometric (ITFHG) operators are applied. In this paper, a novel method of deriving the unknown decision-maker weights using Sumudu transform combined with integrodifferential equation is proposed, and the derived weights are used in computations for identifying the best alternative. A goodness of fit for this method is provided to show the effectiveness of the proposed approach.

User-based video abstraction using visual features

Abstract: In this paper, a novel mechanism for generating user-based video abstracts has been proposed. Initially, video experts (operators) score the video frames based on the different modalities contextual information. Later, a two-dimensional matrix that stores the relativity scores of each video scene and a number of pre-defined semantic categories are calculated utilizing SIFT (Scale Invariant Feature Transform) features of the representative key-frames. Next, the users' preference levels to each of those high-level visual categories are extracted in the form of an array. By fusion of these two groups of data, the user's priorities towards the different video segments can be measured. In the next step, the pre-computed averaged scores of the frames are updated according to the realized user's interest degree into the corresponding video segments. Finally, the highest scored video frames alongside the auditory and textual content are inserted into final digest. The effectiveness of this approach has been assessed by comparison of the video summaries generated by this system against the outcome from a number of automatic and semi-automatic summarization tools that use different modalities for abstraction.

Regeneration of Beta Cells by Inhibition of pro-Apoptotic Proteins through Phytocompound in STZ Induced Diabetic Albino Wistar Rats: In Vivo and In Silico Approach

Abstract: Type 1 diabetes mellitus (T1DM) is due to severe insulin deficiency by loss of insulin-producing β-cells. Hence, induction of β-cell proliferation is a promising therapeutic strategy to regenerate β-cell mass. Both extrinsic (receptor-mediated) and intrinsic (mitochondria-driven) pathway constitutes the apoptotic pathway. Extrinsic pathway driven by external factors and mitochondria-driven intrinsic pathway are known to operate at a balance and regulate pro-apoptotic and anti-apoptotic proteins. Hence, there is a future hope for therapeutic application to slow or even prevent β-cell apoptosis in T1DM by inhibiting pro-apoptotic proteins employing natural phytocompounds. Among the several plants screened, Elephantopus scaber was found to have a remarkable anti-diabetic activity. Terpenoid, the bioactive phytocompound isolated from the mentioned plant was found to increase insulin and restore glucose homeostasis. Experimental analysis in STZ diabetic rats demonstrated an increase in insulin by regeneration of beta cells. However, the underlying mechanism of beta cell regeneration was analysed by inhibition of pro-apoptotic proteins. Thus, restoring pancreatic beta cell function by inhibiting pro-apoptotic proteins may be an effective strategical approach for the prevention and treatment of diabetes, which may open doors for establishing phytocompounds as operative anti-diabetics. Restoring insulin secretion by regenerating beta cells in STZ induced diabetic rats can be traced to the inhibition of pro-apoptotic proteins by phytocompound through in silico study.