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Deep Learning Enabled Object Detection and Tracking Model for Big Data Environment
Recently, big data becomes evitable due to massive increase in the generation of data in real time application. Presently, object detection and tracking applications becomes popular among research communities and finds useful in different applications namely vehicle navigation, augmented reality, surveillance, etc. This paper introduces an effective deep learning based object tracker using Automated Image Annotation with Inception v2 based Faster RCNN (AIA-IFRCNN) model in big data environment. The AIA-IFRCNN model annotates the images by Discriminative Correlation Filter (DCF) with Channel and Spatial Reliability tracker (CSR), named DCF-CSRT model. The AIA-IFRCNN technique employs Faster RCNN for object detection and tracking, which comprises region proposal network (RPN) and Fast R-CNN. In addition, inception v2 model is applied as a shared convolution neural network (CNN) to generate the feature map. Lastly, softmax layer is applied to perform classification task. The effectiveness of the AIA-IFRCNN method undergoes experimentation against a benchmark dataset and the results are assessed under diverse aspects with maximum detection accuracy of 97.77%. 2022 Tech Science Press. All rights reserved. -
The asymmetric relationship between foreign direct investment, oil prices and carbon emissions: evidence from Gulf Cooperative Council economies
We investigate the asymmetric nonlinear link between foreign direct investment, oil prices, and CO2 emissions for the Gulf Cooperation Council nations, using foreign direct investment and oil price data. As foreign direct investment is positively associated with carbon emissions in the long run and oil prices have positive, significant effects on CO2 emissions, our findings support the pollution-haven hypothesis. Furthermore, these variables have an asymmetric nonlinear relationship, which corresponds to the theoretical expectations of the pollution-haven hypothesis. We also find that negative changes in foreign direct investment have positive, significant impacts on carbon emissions in the short run, implying that foreign enterprises utilize green technologies in their manufacturing processes in the short run. In the long run, however, negative changes in oil prices are positively associated with carbon emissions. These findings should help Gulf Cooperation Council economies focus on policies that encourage foreign direct investment in green rather than dirty industries in order to ensure environmental sustainability. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Evaluation of hydroxyapatite filler loading on dynamic mechanical properties of combined silk and basalt fabric reinforced epoxy nanocomposites
The boosting of electrical and microelectronic goods causes the continuous increase in the amount of power per unit volume of these gadgets, leading to unavoidable overheating problems that diminish their functional performance as well as life span. One of the primary aims of materials science is the creation of high-performance materials that are made from renewable resources. Multi-phase composites were recognised as an effective route to achieve a new portfolio of advanced materials with superior performance. Some of the functional fillers in polymer-based composite materials exhibit outstanding electrical insulation, chemical resistance, mechanical and processing properties, and therefore are considered to be the most promising candidates to solve the heat dissipation problem. In this research article, the thermal behavior, namely Fourier Transform Infrared Spectroscopy (FTIR), X-Ray Diffraction Analysis (XRD), and Dynamic mechanical analysis (DMA) of hybrid nano-sized hydroxyapatite filled hybrid fiber reinforced epoxy nanocomposites are investigated. Three important parameters were examined at 1 Hz frequency: storage modulus, loss modulus, and damping, all from room temperature to 160 C. The influence of the nHAP loading on the dynamic mechanical properties are discussed and explained with the highly relevant works from the available literature. In particular, the dependence of the hybrid composite damping on the nHAP loading was explained with regard to damping due to particleparticle and polymer-fiber interaction. The presence of nHAP is confirmed by a wider XRD curve, and the incorporation of nHAP results in the removal of the hydroxy group from the fibers as shown by FTIR. The inclusion of nHAP in a hybrid (S + B/Ep) composite enhances the synergetic effect, which raises the storage and loss modulus, decreases the damping factor, and increases the Tg of the nHAP filled hybrid nanocomposites. 2021 -
Effect of Computer Learning on performance in early Architecture Education
A mixed cohort of students with different experience backgrounds join the architecture degree. While some are well familiar with the user interface of computer and 3-D digital tools, others are not. The effect of such prior knowledge and their corresponding digital and analog performance in a designed experiment was evaluated with a sample of 38 first-year students. This was done to understand the performance effects of previous computer learning in students. Computer learning of the sample was studied in terms of years of computer exposure, the number of software known, and knowledge of 3D software or SketchUp. The results suggest that none of the factors contributed to the digital performance of students. This provided suggestions regarding the computer teaching emphasis which should be placed on students having less computer learning. 2022, Rajarambapu Institute Of Technology. All rights reserved. -
Energy-Aware Multilevel Clustering Scheme for Underwater Wireless Sensor Networks
The expansion of wireless sensor networks in the underwater environment resulted in underwater wireless sensor networks. It has dramatically impacted the research arena because of its widespread and real-time applications. But successful implementation of underwater wireless sensor networks faces many issues. The primary concern in the underwater sensor network is sensor nodes' energy depletion problem. In this paper, to improve the lifetime of the underwater wireless sensor network, an Energy-Aware Multi-level Clustering Scheme is proposed. The underwater network region is considered 3D concentric cylinders with multiple levels. Further, each level is divided into various blocks, representing one cluster. The proposed algorithm follows vertical communication mode from the sea bed to the surface area in a bottom-up fashion. Multiple levels with varying heights overcome the communication issues due to high water pressure towards the sea bed. Simulations are carried out to show the efficiency of the proposed algorithm, which performs better in terms of a prolonged network lifetime and average residual energy. The simulation result shows significant improvement in the network lifetime compared with current algorithms. 2013 IEEE. -
Two inventory models for growing items under different payment policies with deterioration
Industries of growing items show an upward trend in the production as well as in consumption. Poultry and livestock are good examples of growing items which are both deteriorating and ameliorating in nature. In this study apart from these specific features of growing items, one of the real-world business policies, permission of delay in payment is also considered. Present paper proposed two inventory models, one with the permission of delay in payment and another without it. Concavity of the profit functions with respect to decision variables are discussed analytically for both the models. Solution procedure and numerical examples are provided in order to get the managerial insights. The numerical analysis growth in weight is approximated by Richard's growth function. The numerical analysis predicts that net profit and the initial purchase quantity both increases under the permissible delay payment policy compared to without it. Sensitivity analysis provides important managerial insights. Copyright 2022 Inderscience Enterprises Ltd. -
AN ECONOMIC RELIABILITY TEST PLAN BASED ON TRUNCATED LIFE TESTS FOR MARSHALL-OLKIN POWER LOMAX DISTRIBUTION WITH APPLICATIONS
In every competitive enterprise, there has been a resurgence of interest in increasing the quality of products. In this paper, we create new acceptance sampling plans based on truncated life tests for the Marshall-Olkin power Lomax distribution. The minimum sample sizes needed to declare the specified mean life with respect to the newly developed sampling plans are obtained for different values of the model parameters. Besides, the operating characteristic function values, minimum ratios of the true value and the required value of the parameter with a given producer risk are discussed. Moreover, the results are illustrated using numerical examples, and a real data set is considered to illustrate the functioning of the recommended acceptance sampling plans. The result shows that the proposed plan is more adequate compared with other acceptance sampling plans available in the open literature. So, it can be used for industry applications. 2010 Mathematics Subject Classification. 60E05, 62E15, 62F10. 2022, Asia Pacific Academic. All rights reserved. -
Comprehensive strategies of Lignocellulolytic enzyme production from microbes and their applications in various commercial-scale faculties
Activities of anthropological organisms leads to the production of massive lignocellulosic waste every year and these lignocellulolytic enzymes plays crucial role in developing eco-friendly, sustainable and economical methods for decomposing and pre-treating the biomass to produce biofuels, organic acids, feeds and enzymes. Lignocellulolytic enzymes sustainably hydrolyse the biomass and can be utilized in wide range of applications such as personal care, pharmaceutical, biofuel release, sewage treatment, food and beverage industries. Every year a significant ton of biomass waste is released and insight on these crucial enzymes could establish in all the industries. However, due to the increased demand for compost materials, biomass degradation has resulted in composting processes. Several methods for improving compost amount and quality have been explored, including increasing decomposer inoculums, stimulating microbial activity, and establishing a decomposable environment. All of these prerequisites are met by biotechnological applications. Biotechnological procedures are used to improve the activity of enzymes on biomass. It leads to an adequate supply of compost and base materials for enterprises. In terms of effectiveness and stability during the breakdown process, lignocellulolytic enzymes derived from genetically modified species outperformed naturally derived lignocellulolytic enzymes. It has the potential to increase the quality and output of byproducts. This review discussed the development of lignocellulolytic enzyme families and their widespread applications in a variety of industries such as olive oil extraction, carotenoid extraction, waste management, pollution control, second-generation bio-ethanol production, textile and dyeing, pharmaceuticals, pulp and paper, animal feed, food processing industries, detergent, and agricultural industries. 2022 Visagaa Publishing House. -
Tobacco Farming, Addiction, Promotion of Gender Equality, Well-being and Monopoly of the Indian Market
Womens land rights are still suppressed in India because men hold most of the land, and men decide what crops to grow. Tobacco use and farming are both detriments to ones health. It causes cancer, and cancer treatment is unavailable in the majority of Indias remote areas. On the other hand, tobacco is grown in remote regions of India, and cancer hospitals are concentrated in major cities. There are eight states in Indias north-eastern region, but only one cancer treatment facility in Guwahati, Assam. There is a need for new cancer hospitals in the north-eastern part of the country, where there is just one cancer hospital for eight states. Mindfulness training and tobacco harmful effects awareness education should be integrated into the educational curriculum and community centres. The school curriculum should include more mindfulness and psychoeducation about tobaccos detrimental effects. The pandemic situation in India and elsewhere make any community-based response difficult right now. Some parts of India, such as A&I Island, the North-Eastern region of India, and J&K, lack high-speed internet connectivity; therefore, radio, television, audio CDs, audio files, recorded videos, reading materials, and cell phones may be the best ways to reach out. Internetbased outreach is another option. A non-governmental organisation (NGO) or other organisation would be required to create regional language reading material, audio files, and video files. Given the global pandemic crisis, such programmes must be put in place as soon as possible. A team of specialists, regional language experts, local cultural experts, and volunteers would be needed to achieve these objectives. 2022 -
Forecasting NIFTY 50 in Volatile Markets Using RNNLSTM: A Study on the Performance of Neural Network Models During the COVID-19 Pandemic
The COVID-19 pandemic has shown us how the market can be highly uncertain and volatile at certain times. This brings a new level of challenges to all the investors and active traders in the market, as they have not seen such a movement in the past. However, as technology is evolving, highly sophisticated tools and techniques are being used by hedge funds and other investment banks to track down these movements and turn this into an opportunity. In this paper, we try to analyse how recurrent neural network (RNN) with long- and short-term memory architecture performs under volatile market conditions. For this study, we tried to perform a comparative analysis between two models within two successive time periods, where one is trained in a volatile market condition and the other in a relatively low volatile market condition. The results showed that the RNN model is less accurate in predicting the prices in a volatile market compared to a relatively low volatile market. We also compared these two models to a separate model where we trained using the combined data from the two successive time periods. Even though the addition in data points for the neural network produced a better result compared to the model trained under volatile conditions, it did not significantly perform better than the model, which was trained in the low volatile period. 2022 Management Development Institute. -
Price Discovery of Currency Futures at NSE
The current study aimed to examine the causal relationship between the NSE currency future rates and currency spot rates in order to identify the price discovery mechanism at NSE market and its integration with foreign exchange market (spot market). To study the causal relationship between the said markets, we have considered daily closing rates for NSE currency futures and currency spot rates for selected pairs of currencies, i.e. USD/INR, GBP/INR, JPY/INR and EURO/INR. The data was obtained from www.nseindia.com and www.investing.com for the period from Jan-2010 to Sep-2017, which makes approximately 1750 observations for each currency pair in each market. It is found that the spot rate for JPY/INR leads the future rate. It is also identified that the spot rate for USD/INR does not cause the changes in futures. It indicates that the market integration between spot and futures at NSE for currency pair USD/INR is strong compared to other selected currency pairs. From the variance decomposition test we found that there is almost no impact of variance in USD/INR spot rate on future rate variance forecast errors. It implies that the causal relationship between for USD/INR spot and future rates is strong and mature compared to the measured causal relationships for the remaining currency pairs. This study concludes that the price discovery process for currency pair USD/INR is better at NSE currency futures among the selected currency pairs. Copyright 2022 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License -
Trade in Pollution-intensive Products: Evidence from India
This article explains Indias trade from an environmental perspective. Besides explaining trends and patterns of trade in pollution-intensive products, we investigate Indias comparative advantage in these products and discuss the emerging issues. The exercise based on the UN Comtrade dataset reveals that much of Indias exports happen under this category with better revealed comparative advantage (RCA) values, which do have high environmental concerns. We sum up the article by arguing that there is a need to attend to sector-specific problems encountered by these industries and have a well-knit environmental policy, so that trade and industrial expansion do not have a major environmental concern. 2022 Management Development Institute. -
VERTEX INDUCED 2-EDGE COLORING AND VERTEX INCIDENT 2-EDGE COLORING OF SOME GRAPH PRODUCTS
Let G = (V, E) be a simple connected graph with vertex set V and edge set E. The vertex induced 2-edge coloring number ?vi2? (G) is the maximum number of colors used in coloring the edges of a graph G such that for each vertex v ? V, at most two edges in the induced subgraph ?N[v]?, generated by the closed neighborhood N[v], receive different colors. The vertex incident 2-edge coloring number ?vin2? (G) of graph G is the maximum number of colors required to color the edges of G such that at most two edges incident to a vertex v in G receive different colors. In this paper, the vertex induced 2-edge coloring number and vertex incident 2-edge coloring number of some graph products such as Cartesian product and strong product are discussed. The ?vi2?(G) and??vin2(G) number in the rooted product of a general connected graphs with some graph classes are also discussed in this paper. Palestine Polytechnic University-PPU 2022. -
Relationship Between Job Stress, Employee Engagement and Job Satisfaction: A Study Based on Women Managers in 4 and 5 star Hotels in India
Women account for a very small percentage of the employee population in Indian luxury hotels. While they have proved themselves as valuable assets, the average tenure of a woman in a managerial role in the sector is still around 2 to 4 years. The Government of India in its India Skills report has identified the sector as a focus area, in the drive to achieve better gender ratios. This study takes a small step towards understanding the factors that could influence the tenure of women in the hotel sector. The study examines the role of job stress in determining the levels of job satisfaction of women in the Indian hotel industry. The study also examines the mediating effect that employee engagement may have on the relation. The researchers have studied women in managerial roles in 4 and 5-star hotels, across India. The findings suggest that there is a strong negative correlation between job stress and job satisfaction and that this relationship is partially mediated by the presence of employee engagement. The findings are particularly important for the hospitality sector in India, as it struggles to retain its talented female employees. 2022 K. J. Somaiya Institute of Management. -
Experimental Investigations on Static, Dynamic, and Morphological Characteristics of Bamboo Fiber-Reinforced Polyester Composites
The use of natural fiber-reinforced polymer composites has increased over a period of time, majorly due to the ecosustainability and biodegradability of the composites. Among several grades of natural fibers, bamboo fibers offer numerous environmental and cost benefits and possess excellent mechanical characteristics. The superior properties of the bamboo fibers have triggered the research interests in the domain of bamboo fiber-reinforced polymer composites. Among the polymers, polyesters are long chain molecules made up of atoms arranged in various ways with other elements to form the basic building blocks of a polymeric chain. Polyester is being increasingly employed in today's industrial products due to its inherent advantages. As a result, based on the potential properties of bamboo fibers as reinforcing materials and polyester resin as matrix material, the biocomposites are synthesized by hand lay-up technique and the specimens cut as per the standard dimensions and subjected to mechanical investigations, vibration, and morphological characterization as per the ASTM test methods. The increase in fiber weight content has enhanced flexural, tensile, and impact characteristics and improved the damping characteristics of the composite specimens. The microstructural evaluations have revealed the uniform distribution of the bamboo fibers in the resin, and the morphological studies of the fractured specimens have revealed that the fracture is majorly due to the matrix cracks rather than the fiber debonding, which is a major attribute ascertaining the strong coherent strengthening mechanism brought about by the inclusion of bamboo fiber in the polyester resin. 2022 N. Santhosh et al. -
Analysis and dynamics of the Ivancevic option pricing model with a novel fractional calculus approach
The aim of the current study is to capture the complex behavior of the Ivancevic option pricing (IOP) model using the (Formula presented.) -homotopy analysis transform method ((Formula presented.) -HATM) with novel fractional operator. The generalization of the Black-Scholes model with the nonlinear Schringer equation plays a pivotal role in financial mathematics in studying the option-pricing wave function associated with two parameters. Based on adaptive market potential and volatility constant with distinct initial situations, we hired three distinct cases to exemplify the ability of (Formula presented.) -HATM. The considered method is elegant unification of the (Formula presented.) -homotopy analysis and Laplace transform algorithms. The derivative of fractional order is projected with the Atangana-Baleanu (AB) operator. The fixed-point theorem is used to present the existence and uniqueness of the attained result for the considered model, and we hire five distinct initial conditions. The hired scheme is highly methodical and exact to analyze the insights of the complex system with integer and fractional order exemplifying associated areas of science, which can be observed using plots and table. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Determinants of adoption of digital payment services among small fixed retail stores in Bangalore, India
India is well on its way to becoming a trillion-dollar digital economy and the government is actively working towards it. Digital payment is taking up and gaining momentum in India. Digital payments have penetrated in all parts of life in India. But it is reported that digital payments are less penetrated among small vendors across the country. This study intends to identify and analyse the factors that determine the adoption of digital payment technologies among small fixed retail stores in tier 1 cities such as Bangalore. The study is based on primary data which is collected through well-structured questionnaires from small fixed retail merchants. The collected data are analysed to determine the factors affecting the adoption of digital payment services among small fixed retail merchants using appropriate statistical tools. The study has found that habit, pervasiveness, and operating costs are the factors that significantly affect the adoption of digital payment services among small fixed retail merchants. Copyright 2022 Inderscience Enterprises Ltd. -
Job satisfaction while working from home during the COVID-19 pandemic: do subjective work autonomy, work-family conflict, and anxiety related to the pandemic matter?
The imposed lockdown, due to the COVID-19 outbreak, resulted in the rise to a new normal of working from home. This study explores how the lockdown and the sudden shift in the working style affected the job satisfaction of employees in India. We examined the relationship of job satisfaction with work autonomy, and determined whether work-family conflict, and anxiety due to COVID-19 are negatively related to job satisfaction amongst employees working from home in India. Through a correlational research design, a total of 211 participants took part in the study, and only 200 of the data, representing a 95% response rate, were eligible for further analysis. The data were analyzed using Structural Equation Modeling, and the results showed that work-family conflict and anxiety related to COVID-19 have a negative correlation with job satisfaction, while work autonomy had a positive correlation with job satisfaction. Perceived work autonomy, work-family conflict, and anxiety related to the COVID-19 pandemic significantly predicted job satisfaction and accounted for an overall 37.8% of the variance in job satisfaction. The findings of the current study provide valuable insight into the consequences of a pandemic or similar uncontrollable event, and augmented the literature on organizational behavior where most employees are compelled to work remotely, either full-time or part-time. The theoretical and empirical implications of how work-family conflict and anxiety related to the COVID-19 pandemic negatively impact the job satisfaction of employees in India were discussed. Evaluation of the structural relationship (SEM) reveals that the overall exogenous constructs significantly predicted job satisfaction of employees working from home in India during the COVID-19 pandemic. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Optimization of Abrasive Wear Parameters of Halloysite Nanotubes Reinforced Silk/Basalt Hybrid Epoxy Composites using Taguchi Approach
The demand for environmentally friendly and sustainable materials for nonstructural and structural applications grows by the day. Polymeric composites reinforced with fillers and fibres are considered to have increased strength and desirable wear resistance. Abrasive wear of industrial and agricultural based components are currently one of the most serious issue. Therefore, the current research reports on the influence of Halloysite-Nanotubes (HNTs) loading on the three body abrasive behavior of bi-directional silk fibre (SF) and basalt fibre (BF) reinforced epoxy (Ep) composites. Rubber wheel with dry sand abrasion testing in accordance with ASTM G65-16e1 was performed with four control parameters such as filler content, load, abrading distance and silica sand size. The tests were planned as per orthogonal array of Taguchi (L27). Significant impact of control factors were identified using ANOVA (Analysis of variance). The results demonstrated that adding HNTs to SF-BF/Ep nanocomposites significantly improved the wear resistance and the combination of A2, B1, C3 and D1 control factors yields the lower specific wear rate (SWR). Findings exhibit that the load and abrading distance were the most significant parameters affecting the abrasive wear of SF-BF/Ep nanocomposites followed by filler content and silica sand size. Microstructural features were observed via scanning-electron-microscopy (SEM). 2022 Published by Faculty of Engineering. -
Brand Love for Sports Apparels Among Indians: A Triangular Theory of Love Perspective
This study aims to evaluate the concept of brand love among the Indians in sports apparel industry. Drawing on Sternbergs (1986) triangular theory of love, we propose a three-dimensional brand love model. We further discuss the interrelationship between these variables and provide a theoretical model for explaining the concept using sports apparels. Then, this theoretical model is tested using empirical research undertaken among 327 respondents. These exploratory results indicated that the concept of brand love in India is similar to that of interpersonal love, contradicting the earlier finding in the field of brand love. These contradicting findings were attributed to the cultural differences between Eastern and Western cultures, especially in the field of extended self (Markus & Kitayama, 1991). These findings create the possibility for future research into brand love via the triangular theory of love to understand how the changes in the perceptions of self influence the brand love. 2022 Management Development Institute.