Thapar University

About: Thapar University is a education organization based out in Patiāla, Punjab, India. It is known for research contribution in the topics: Cloud computing & Fuzzy logic. The organization has 2944 authors who have published 8558 publications receiving 130392 citations.

Energy efficient offloading strategy in fog-cloud environment for IoT applications

Abstract: Nowadays, cloud computing leverages the capability of Internet-of-Things (IoT) applications by providing computing resources as a form of virtual machine (VM) instances. However, the Cloud data center consumes a large amount of energy while transmitting and computing the IoT applications which lead to a high carbon footprint . On the other hand, the Fog nodes provide various cloud services at the edge of the network which can run the IoT applications locally with minimum energy consumption and delay. Due to the limited resource capacity, the Fog nodes are not suitable for processing the resource-intensive IoT applications. To address these challenges, in this paper, we build sustainable infrastructure in Fog-Cloud environment for processing delay-intensive and resource-intensive applications with an optimal task offloading strategy. The proposed offloading strategy uses Firefly algorithm for finding an optimal computing device based on two Quality-of-Service (QoS) parameters such as energy consumption and computational time. The main objectives of this strategy are to minimize the computational time and the energy consumption of the IoT applications with minimum delay. The effect of the control parameters of the Firefly technique is investigated thoroughly. Through comparisons, we show that the proposed method performs better than the existing ones in terms of various performance metrics including computational time, energy consumption, CO 2 emission, and Temperature emission.

Synergistic effect of dual process (photocatalysis and photo-Fenton) for the degradation of Cephalexin using TiO2 immobilized novel clay beads with waste fly ash/foundry sand

Abstract: Novel composite clay beads mixed with foundry sand (FS)/fly-ash (FA) were used as support materials for fixing the catalyst TiO 2 and subsequently used as iron source. The in-situ iron generation in case of beads that contained either FS/FA or both induced dual effect (photo-Fenton and photocatalysis) in the same treatment unit thus leading to synergistic effect for the degradation of antibiotic Cephalexin. Composite beads (FS/FA/TiO 2 ) showed relatively best results (89% degradation) as compared to FS/TiO 2 (79%) or FA/TiO 2 (81%) at optimized conditions. From the kinetics data, there was 30–45% increase in first order rate constant in case of FS/FA/TiO 2 beads pertaining to dual effect. The stability of the catalyst even after 35 recycles, as confirmed through SEM/EDS and XRD analysis; justified its claim for field-scale applications. Further, mineralization of pollutant was validated by reduction in COD (82%) along with generation of various anions whereas intermediate products were identified through GC–MS analysis.

Novel Single-Valued Neutrosophic Aggregated Operators Under Frank Norm Operation and Its Application to Decision-Making Process

Abstract: Uncertainties play a dominant role during the aggregation process and hence their corresponding decisions are made fuzzier. Single-value neutrosophic numbers (SVNNs) contain the three ranges: truth, indeterminacy, and falsity membership degrees, and are very useful for describing and handling the uncertainties in the day-to-day life situations. In this study, some operations of SVNNs such as sum, product, and scalar multiplication are defined under Frank norm operations and, based on it, some averaging and geometric aggregation operators have been developed. We further establish some of its properties. Moreover, a decision-making method based on the proposed operators is established and illustrated with a numerical example.