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Jain, Neeraj

Knowledge Hoarding: A Bottleneck to Organizational Success

Humanistic Psychology: A Brief Introduction

Performance of PID Controller of Nonlinear System Using Swarm Intelligence Techniques

A Study on Impact of Implementation of GST on Inflation in Selected Countries:An Intervention Model

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Authors

Bibhu Prasad Sahoo ¹, Neeraj Jain ¹, Garima ¹

Affiliations
1 SGTB Khalsa College, University of Delhi, Delhi, IN

Source

Asian Journal of Management, Vol 8, No 2 (2017), Pagination: 246-250

Abstract

GST, also known as Value Added Tax (VAT), is a multi-stage consumption tax charged on value added at every stage of production. The manufacturer or distributor charges GST on its sales (output tax) and gets credit for GST paid on the purchases made (input tax). In India, the basic idea is to create a single, cooperative and undivided market which has a simplified tax structure that strengthens the economy. GST has been recommended by IMF for improving the efficiency of the tax system and for increasing the tax revenue in any country. Implementation of GST in over 160 countries has drawn the attention of various researchers towards the variable impact on inflation in their respective economies. The present study aims to evaluate the postimplementation impact of GST on inflation for eleven developing and developed countries. The study uses Intervention model to evaluate the post-implementation impact of GST on inflation in the short run and long run. Overall results showed that except for China, there was no significant evidence of increase in inflation after the introduction of GST both in the short run (one year) and in the long run (3 years). The study found that countries like Portugal and New Zealand experienced a significant drop in inflation after introducing GST.

Keywords

GST, Inflation, Intervention Model, VAT.

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Performance Evaluation and Comparative Analysis of Watermarking Algorithm Based on Adaptive Prediction Method

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Authors

Chetna Sharma ¹, Neeraj Jain ¹

Affiliations
1 Department of Electronics and Communication Engineering, Modern Institute of Technology & Research Centre, Alwar, IN

Source

ICTACT Journal on Image and Video Processing, Vol 9, No 2 (2018), Pagination: 1876-1881

Abstract

Now a days digital watermarking appeared as a solution for copyright detection, protection and maintenance of important data. This paper deals with a new reversible watermarking algorithm based on adaptive prediction error expansion, which can recover original image after extracting the hidden data. Embedding capacity of such algorithm depend on the prediction accuracy of the predictor. The method can embed secret data into 3×3 image block order by exploiting the pixel redundancy within each block. It has been observed that proposed method of reversible watermarking provide much better results in terms of Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE) in comparison to existing literature.

Keywords

Reversible Image Watermarking, Adaptive Prediction, Peak Signal to Noise Ratio (PSNR).

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References

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Performance Analysis of Artificial Bee Colony Algorithm in Spectrum Sensing for Cognitive Radio in Different Fading Channels

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Authors

Hina Tuteja ¹, Neeraj Jain ¹

Affiliations
1 Department of Electronics and Communication Engineering, Modern Institute of Technology and Research Centre, IN

Source

ICTACT Journal on Soft Computing, Vol 9, No SP 2 (2019), Pagination: 1862-1866

Abstract

Recently, cognitive radio (CR) is viewed as a novel approach for improving the utilization of a radio spectrum. The cognitive radio is defined as an intelligent wireless communication system that is aware of its surrounding and uses the technique of understanding-by-learning from the environment and adapt to statistical variations in the input stimuli. Spectrum sensing is a fundamental component in a cognitive radio. This paper analyses the performance of the artificial bee colony algorithm (ABC), optimization in different fading environments.

Keywords

Cognitive Radio, Spectrum Sensing, Artificial Bee Colony.

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References

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Fungal degradation of cultural heritage monuments and management options

Abstract Views :190 | PDF Views:75

Authors

Prachi Tyagi ¹, Rajesh K. Verma ¹, Neeraj Jain ¹

Affiliations
1 Building Pests and Mycology Laboratory, Environmental Science and Technology Group, CSIR-Central Building Research Institute, Roorkee 247 667, IN

Source

Current Science, Vol 121, No 12 (2021), Pagination: 1553-1560

Abstract

Fungi are widely recognized as major biodeteriogens of both modern and historical buildings/monuments. Different fungal taxa have been isolated from cultural heritage monuments/structures depending on climatic conditions, humidity level and surface material for fungal colonization. Deterioration of such monuments by fungi is through assimilatory biochemical and nonassimilatory mechanisms. This article provides information on fungi infesting historical monuments/sites across the globe and their management by various biocidal compounds. The preventive methods and potency of various essential oils against fungal growth on cultural heritage materials are also critically reviewed. The available information supports the use of essential oils for surface treatment or vapour exposure to prevent mould infestation on heritage monuments. Essential oils may also function as fungicidal agents in biocidal formulations/coatings.

Keywords

Biodegradation, Biocidal Essential Oils, Cultural Heritage, Fungi, Historical Monuments.

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Jain, Neeraj

Knowledge Hoarding: A Bottleneck to Organizational Success

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Humanistic Psychology: A Brief Introduction

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Performance Evaluation and Comparative Analysis of Watermarking Algorithm Based on Adaptive Prediction Method

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Performance Analysis of Artificial Bee Colony Algorithm in Spectrum Sensing for Cognitive Radio in Different Fading Channels

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Fungal degradation of cultural heritage monuments and management options

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