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A Study on the Indian Small Car Market and Factors Influencing Customers' Decisions Towards Purchase of Small Cars
International Journal of Research in Computer Application & Management, Vol-2 (11), pp. 65-69. ISSN-2231-1009 -
A Study on the Influence of Personality Traits on Entrepreneurial intentio
Pacific Business Review International, Vol. 9, Issue 5. pp. 12-19, ISSN No. 0974-438X -
A Study on the Influence of personality traits on entrepreneurial intention among working professionals in the Indian technical organizations
Pacific Business Review International, Vol. 9, Issue 5, pp. 12-19, ISSN 097X-438X -
A study on the influence of sustainability related factors on the online purchase decisions of customers
The e-commerce business is growing at a tremendous rate in India. More and more customers prefer to buy for the online website due to the discounts, ease of purchase and the larger variety of products available. The e-retail companies majorly use discounts as major attraction to gain more customers. In this process of trying to increase the market share the sustainability factors are not given importance in various ways. This research paper tries to find if customers give importance to sustainability related factors and if these factors can be advertised by the e-retailers. The paper tries to find if this will have an impact on the customer purchase decisions from the e retailers. Then the e-retailers will have to have a different business strategy with sustainability factors included to attract more customers. 2019 SERSC. -
A study on the relationship between internal branding and affective commitment of customer contact employees in multi-brand retail stores in Bangalore /
International Journal of Business and Administration Research, Vol.1, Issue 7, pp.189-197, ISSN No: 2348-0653. -
A Study on the Role of Tea Tourism in Assam
Tourism Development Journal Vol. 10, Issue 1, pp. 1-14, ISSN No. 0975-7376 -
A study on the self-concept of teachers working in government, aided and unaided colleges in Bangalore
The IUP Journal of Organizational Behavior, Vol-13(1), pp. 60-70. ISSN-0972-687X -
A study on the weak form efficiency of metals & mining sector in bse
This study has been conducted to observe whether the weak form of efficiency holds true when the Metals & Mining sector is examined for the same. Data is collected for a 5 year period which ranges from 1st April 2014 to 31st March 2019. A total of 1232 observations have been taken from the three selected companies of the Metals & Mining sector of the BSE, namely, Coal India Ltd, Hindustan Zinc Ltd and JSW Steel Ltd. Jarque-Bera test is used to check whether the data is normally distributed or not. Augmented Dickey Fuller test has been used to establish whether the data series possesses stationarity or not. Finally Runs test and Autocorrelation tests are used to check whether the Metals & Mining sector of BSE is weak form efficient or not through the three representative companies. Upon analyzing the data through Runs Test, except for JSW Steel Ltd, the other two companies are identified to contain randomness in their data series. Autocorrelation test also suggests that the future stock prices can be predicted only to a minimal extent for the three representative companies. Based on the derived results, it is concluded that the Metals & Mining sector of BSE does not contain any statistical dependencies between its past and future stock prices and it is found to be weak form efficient. 2021, Badebio Biotechnololgy Ltd. All rights reserved. -
A Study on Women Consumers' Preferences Towards Visual Media (With Reference to Chennai City)
Journal of Business Management & Social Sciences Research, Vol-1 (3), pp. 38-49. ISSN-2319-5614 -
A succinct analysis for deep learning in deep vision and its applications
Introduction: Deep learning methodologies can achieve forefront results on testing deep vision issues, for instance, picture portrayal, an object area, face affirmation, Natural Language Processing, Visual Data Processing and online life examination. ConvNet, Stochastic Hopfield network with hidden units, generative graphical model and sort of artificial neural network castoff to absorb competent information coding in an unproven way are deep learning plans used in deep vision issues. Objection: This paper gives a succinct survey of without a doubt the most critical Deep learning structures. Deep vision assignments, for instance, object revelation, face affirmation, Natural Language Processing, Visual Data Processing, web-based life examination and their utilization of this task are discussed with a short record of the historic structure, central focuses and impairments. Future headings in arranging Deep learning structures for Deep vision issues and the troubles included are analysed. Method: This paper consists of surveys. In Section two, Deep Learning Approaches and Changes are audited. In section three, we tend to portray the uses of Applications of deep learning in deep vision. In Section four, Deep learning challenges and directions are mentioned. At long last, Section five completes the paper with an outline of the results. Results and Conclusion: Though deep learning can recall a huge proportion of data and info, its feeble cognitive and perception of the data makes it a disclosure answer for certain applications. Deep learning despite everything encounters issues in showing various erratic facts modalities at the equal period. Multimodal profound learning is an extra notable heading in progressing deep learning research. IJCRR. -
A Survey Instrument for Ranking of the Critical Success Factors for the Successful ERP Implementation at Indian SMEs
Bioinfo Business Economics, Vol-1 (1), pp. 06-12. ISSN-2249-1775 -
A survey of blockchain: concepts, applications and challenges
With the development of Bitcoin, organisations, be it businesses or institutions, are centring on leveraging Bitcoins blockchain technology to non-monetary based applications to improve efficiency of the activities. Having various benefits like anonymity, decentralised, audibility etc. Blockchain technology can be vastly implemented in various sectors other than financial too. This paper gives an overview the blockchain technology. It briefs about various technical concepts used in the blockchain, its types and where it can be used. It also discusses some proposed applications of the technology and tools or frameworks that can be used to develop such. It also presents the limitations of the technology. Copyright 2023 Inderscience Enterprises Ltd. -
A Survey of Sentiment Analysis from Social Media Data
In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future. 2014 IEEE. -
A survey on artificial intelligence for reducing the climate footprint in healthcare
The primary mission of the healthcare sector is to protect from various ailments with improved healthcare services and to use advanced diagnostic solutions to promote reliable treatments for complex diseases. However, healthcare is among the significant contributors to the current climate crisis. Therefore, research is underway to identify various measures to reduce the emissions from advanced healthcare systems. Modern healthcare facilities invest significantly in renewable energy, efficient energy solutions, and intelligent climate cooling and control technologies. Furthermore, innovative technologies like artificial intelligence (AI) are proposed to enable automation for patient health monitoring. With the advances in AI, there are green AI goals for potentially reducing emissions through data-driven and well-optimized models for healthcare. Furthermore, novel machine learning and deep learning techniques are continually proposed for improved efficiency to reduce emissions. Therefore, the scope of the research is to review the potential of AI in healthcare for lowering emission rates and its methodologies, current approaches, metrics, challenges, and future trends to attain a straightforward pathway. 2022 -
A survey on next-generation mixed line rate (MLR) and energy-driven wavelength-division multiplexed (WDM) optical networks
With the ever-increasing traffic demands, infrastructure of the current 10 Gbps optical network needs to be enhanced. Further, since the energy crisis is gaining increasing concerns, new research topics need to be devised and technological solutions for energy conservation need to be investigated. In all-optical mixed line rate (MLR) network, feasibility of a lightpath is determined by the physical layer impairment (PLI) accumulation. Contrary to PLI-aware routing and wavelength assignment (PLIA-RWA) algorithm applicable for a 10 Gbps wavelength-division multiplexed (WDM) network, a new Routing, Wavelength, Modulation format assignment (RWMFA) algorithm is required for the MLR optical network. With the rapid growth of energy consumption in Information and Communication Technologies (ICT), recently, lot of attention is being devoted toward "green" ICT solutions. This article presents a review of different RWMFA (PLIA-RWA) algorithms for MLR networks, and surveys the most relevant research activities aimed at minimizing energy consumption in optical networks. In essence, this article presents a comprehensive and timely survey on a growing field of research, as it covers most aspects of MLR and energy-driven optical networks. Hence, the author aims at providing a comprehensive reference for the growing base of researchers who will work on MLR and energy-driven optical networks in the upcoming years. Finally, the article also identifies several open problems for future research. 2015 by De Gruyter. -
A survey on next-generation Mixed Line Rate (MLR) and energy-driven Wavelength-Division Multiplexed (WDM) optical networks /
Journal of Optical Communications, Vol.36, Issue 2, pp.516-532, ISSN No: 2191-6322. -
A survey on the intersection graphs of ideals of rings
Let L(R) denote the set of all non-trivial left ideals of a ring R. The intersection graph of ideals of a ring R is an undirected simple graph denoted by G(R) whose vertices are in a one-to-one correspondence with L(R) and two distinct vertices are joined by an edge if and only if the corresponding left ideals of R have a non-zero intersection. The ideal structure of a ring reects many ring theoretical properties. There is so much research that has been conducted during the last decade to explore the properties of G(R). This is a survey of the developments in the study on the intersection graphs of ideals of rings since its introduction in 2009. 2022 by the authors. -
A sustainable approach for fish waste valorization through polyhydroxyalkanoate production by Bacillus megaterium NCDC0679 and its optimization studies
Polyhydroxyalkanoates (PHAs) are considered as the only class of truly biodegradable and biocompatible polymers. Although extensive research has been carried out in producing them from a wide variety of organisms, their commercialization still faces hurdles majorly associated with the cost of production media. This research work exploits the use of discarded fish scale waste as a major media component for biopolymer production. The major novelty of the research work is the utilization of a Bacillus megaterium NCDC0679 for PHA production using fish scale waste that is not reported previously. Furthermore, a sequential and systematic statistical optimization strategy employing response surface methodology was used to trace out the level of the most significant variables and their interaction effects on PHA production add to the significant novelty of this work. The significance of the model developed was determined from the p values of ANOVA. Under optimized levels of glucose (50g/L), NaCl (0.125g/L), and fish scale hydrolysate concentration (62.5% v/v), maximum PHA yield of 6.33g/L was achieved in the shake flask culture system. This was found to be 5.50-fold higher than the unoptimized medium. The ANOVA results established the significance of the model (p < 0.05). The extracted polymer was characterized through Fourier-transform infrared (FTIR), nuclear magnetic resonance (NMR), X-ray diffraction (XRD), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA). Thus, the present investigation suggests an innovative method for valorization of fish scale waste for commercial production of PHA. 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. -
A sustainable non-enzymatic approach for determination of cholesterol using piper nigrum derived porous carbon/?-Fe2O3 composite electrode
Activated porous carbon (APC) obtained from Piper nigrum along with ?-Fe2O3 have been used to modify carbon paste electrode (CPE) for the highly sensitive and selective electrochemical determination of cholesterol. The enhanced synergistic properties observed between the biomass-derived APC and ?-Fe2O3 uplifts the electrocatalytic activity of the modified electrode (APC-Fe2O3/CPE). The prepared ?-Fe2O3 nanoparticles were characterised by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Dynamic light scattering (DLS), zeta potential measurements and Thermogravimetric analysis (TGA). High resolution transmission electron microscopy (HRTEM), Field emission scanning electron microscopy (FESEM), X-ray diffraction (XRD) and electrochemical techniques were used to study the physico-chemical properties of the modified electrodes. Experimental conditions such as effect of pH, scan rate and concentration of cholesterol were optimized. Wide linear dynamic range between 25 nM and 300 nM, low limit of detection (LOD) and limit of quantification (LOQ) of 8 nM and 26 nM respectively make the method very effective and sensitive. Cholesterol in human blood serum samples was non-enzymatically determined using the developed method. 2021 The Electrochemical Society. -
A Systematic Review of Green Apparel Manufacturing
The purpose of this paper is to conduct a systematic review of the literature on green manufacturing practices in the apparel industry to map green practices across various apparel manufacturing departments. The review includes academic journal articles that were retrieved between March 2013 and March 2023 from several different databases. As part of a comprehensive literature assessment, content analysis was applied to 138 publications that were published in peer-reviewed journals over ten years. Green practices in garment manufacturing process are covered, including product design, raw material procurement, fabric spreading, cutting, sewing and assembly, washing, printing and embroidery, finishing, and packing. The review of eco-friendly production practices at each phase of the production process shows the variety and complexity of green practices in apparel production companies. However, there is a lack of research on the conditions of developing countries, where the majority of apparel production takes place, as well as on the methods used in the manufacture of garments. The study is distinct in that it focuses solely on the garment manufacturing industry, and will not include textiles because the production processes for textiles and clothing are fundamentally different. This study assists managers in building a companys sustainability competency by outlining best practices at various phases of production. It also provides scholars with a uniform representation of environmentally sustainable practices to spur additional scholarly investigation. 2023, Kauno Technologijos Universitetas. All rights reserved.