Calculation of electron-impact rotationally elastic total cross sections for NH₃, H₂S, and PH₃ over the energy range from 0.01 eV to 2 keV

This paper report results of calculation of the total cross section QT for electron impact on NH3, H2S,and PH3 over a wide range of incident energies from 0.01 eV to 2 keV. Total cross sections QT (elastic plus electronic excitation) for incident energies below the ionization threshold of the target were calculated using the UK molecular R-matrix code through the Quantemol-N software package and cross sections at higher energies were derived using the spherical complex optical potential formalism. The two methods are found to give self-consistent values where they overlap. The present results are, in general, found to be in good agreement with previous experimental and theoretical results

Theoretical total cross sections for <i>e</i>-SO₂ scattering over a wide energy range (0.1−2000 eV) revealing a 3.4-eV shape resonance

We have used the ab initio R-matrix formalism at low impact energies (below the ionization threshold of the target) and the spherical complex optical potential methodology above the ionization threshold to generate total cross sections for e-SO2 scattering over the energy range from 0.1 to 2000 eV. The eigenphase diagram and total cross section indicate a structure at 3.4 eV which is ascribed to a shape resonance, evidence for which appears in earlier experimental studie

Design of RF Low Noise Amplifier at 2GHz in 0.18μm Technology

A 2GHz Low Noise Amplifier (LNA) has been implemented in Cadence Spectre RF tool on UMC 0.18μm technology and is designed using a modified Cascode topology to work under reduced power supply. The input and output matching network is matched to 50Ω. After simulation it is found that at resonance frequency of 2GHz, the forward gain is 18.22dB and reverse isolation is -40.86dB

Characterizing Locality, Evolution, and Life Span of Accesses in Enterprise Media Server Workloads

The main issue we address in this paper is the workload analysis of today&apos;s enterprise media servers. This analysis aims to establish a set of properties specific for enterprise media server workloads and to compare them with well known related observations about web server workloads. We propose two new metrics to characterize the dynamics and evolution of the accesses, and the rate of change in the site access pattern, and illustrate them with the analysis of two different enterprise media server workloads collected over a significant period of time. Another goal of our workload analysis study is to develop amedia server log analysis tool, called ############, that produces a media server traffic access profile and its system resource usage in a way useful to service providers

QIBMRMN: Design of a Q-Learning based Iterative sleep-scheduling & hybrid Bioinspired Multipath Routing model for Multimedia Networks

Multimedia networks utilize low-power scalar nodes to modify wakeup cycles of high-performance multimedia nodes, which assists in optimizing the power-to-performance ratios. A wide variety of machine learning models are proposed by researchers to perform this task, and most of them are either highly complex, or showcase low-levels of efficiency when applied to large-scale networks. To overcome these issues, this text proposes design of a Q-learning based iterative sleep-scheduling and fuses these schedules with an efficient hybrid bioinspired multipath routing model for large-scale multimedia network sets. The proposed model initially uses an iterative Q-Learning technique that analyzes energy consumption patterns of nodes, and incrementally modifies their sleep schedules. These sleep schedules are used by scalar nodes to efficiently wakeup multimedia nodes during adhoc communication requests. These communication requests are processed by a combination of Grey Wolf Optimizer (GWO) & Genetic Algorithm (GA) models, which assist in the identification of optimal paths. These paths are estimated via combined analysis of temporal throughput & packet delivery performance, with node-to-node distance & residual energy metrics. The GWO Model uses instantaneous node & network parameters, while the GA Model analyzes temporal metrics in order to identify optimal routing paths. Both these path sets are fused together via the Q-Learning mechanism, which assists in Iterative Adhoc Path Correction (IAPC), thereby improving the energy efficiency, while reducing communication delay via multipath analysis. Due to a fusion of these models, the proposed Q-Learning based Iterative sleep-scheduling & hybrid Bioinspired Multipath Routing model for Multimedia Networks (QIBMRMN) is able to reduce communication delay by 2.6%, reduce energy consumed during these communications by 14.0%, while improving throughput by 19.6% & packet delivery performance by 8.3% when compared with standard multimedia routing techniques

Load Balancing and Resource Allocation Model for SaaS Applications with Time and Cost constraints forcloud-computing

Instead of Traditional Software, nowadays we are using Cloud Computing. It enables the on-going revenue for software providers..Advancement of Cloud Computing due to use of well established research in Web Services, networks, utility computing and virtualization has resulted in many advantages in cost, flexibility and availability for service users. These advantages has further increased the demand for Cloud Services, increasing both the Cloud's customer base and the scale of Cloud installations. This has resulted in many technical issues in Service Oriented Architectures and Internet of Services (IoS) type applications such as high availability and scalability, fault tolerance. Central to these issues is the establishment of effective load balancing techniques. In this paper focus on the load balancing and resources provisioning approaches.Here, using the linear programming approach for dynamically allocates the resources with balancing the load.Mainly focus on the time and cost constraints. DOI: 10.17762/ijritcc2321-8169.15072

Extraction of carotenoids from pumpkin peel and pulp: Comparison between innovative green extraction technologies (ultrasonic and microwave-assisted extractions using corn oil)

Natural pigments improve aesthetic value as well as antioxidant potential of a food product. This study was designed to determine the effects of green extraction techniques on carotenoids, polyphenols and antioxidant activities of pulp and peel of two varieties of pumpkin (Cucurbita maxima). Innovative green extractions (IGE; Ultrasound and Microwave-Assisted Extractions) synergised with corn oil (used as green solvent) were compared with conventional extraction (CE; hexane/isopropyl alcohol; 60:40, v/v). Results showed total carotenoids to be almost double on employing IGE (PM2-UAE-peel = 38.03 ± 4.21; PM4-UAE-peel = 33.78 ± 1.76 µg/g) when compared to conventional extraction (PM2-CE-peel = 19.21 ± 4.39; PM4-CE-peel = 16.21 ± 2.52 µg/g). Polyphenolic contents ranged between 510.69 ± 5.50 and 588.68 ± 7.26 mg GAE/100 g of extract in IGE, compared with conventional extracts (269.50 ± 2.17 to 318.46 ± 6.60 mg GAE/100 g) and percent inhibition of 2,2-Diphenyl-1-picrylhydrazyl (DPPH) ranging between 88.32 ± 1.51 and 93.53 ± 0.30% in IGE when compared with conventional extraction (50.61 ± 1.44 to 57.79 ± 2.09%). Further, oxidative stability of carotenoids extracts from IGE (protection factor = 1.59 ± 0.01 to 1.81 ± 0.05) were found to be significantly higher (p < 0.05) than conventional extracts. Based on results, this study supports the use of innovative green extraction techniques to obtain bioactive pigments like carotenoids. It is anticipated that results generated will find potential applications in food, pharmaceutical and cosmetic industriesThis work is supported by VALORTECH project, which has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No. 810630. In addition, funding received from Mobilitas Pluss ERA-Chair support (Grant no. MOBEC006 ERA Chair for Food (By-) Products Valorisation Technologies of the Estonian University of Life Sciences) is also gratefully acknowledged

Novel Frame work for Improving Embedding Capacity of the System using Reversible Data Hiding Technique

Internet communication has become an essential part of infrastructure of today’s world. The secret information communicated in various forms. Security of the secret information has been a challenge when the heavy amount of data is exchanged on the internet. A secure data transfer can be achieved by steganography and Cryptography. Steganography is a process of hiding the information into cover media while cryptography is the technique that encodes the message using encryption key. In this paper described the reversible data hiding concept. This maintains the property that recovered the original cover without loss of data while extracting the embedded message. DOI: 10.17762/ijritcc2321-8169.15072