Browsing by Author "Dilip Kumar"

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An overview of handicraft industry – Case study of indian entrepreneur
(Institute of Advanced Scientific Research, Inc., 2020) Dilip Kumar; Goutam Tanty; Rashmi Ranjan Panigrahi; P.V. Rajeev
Paper adopted case study method of research. In this study clearly documented history of Indian Handicraft sector and presenting the comprehensive analysis the market trend, contribution in export business to the country economy. This case study also presented the different countries contribution in handicraft sector. The objectives of this case are to focuses on the entrepreneurial role towards the contribution of handicraft sector with specification to “Gautam Prajapati”. © 2020, Institute of Advanced Scientific Research, Inc.. All rights reserved.
Antinormal composition operators on l2(λ)
(Drustvo Matematicara Srbije, 2016) Dilip Kumar; Harish Chandra
In this paper we characterize self-adjoint and normal composition operators on Poisson weighted sequence spaces l2(λ). However, the main purpose of this paper is to determine explicit conditions on inducing map under which a composition operator admits a best normal approximation. We extend results of Tripathi and Lal [Antinormal composition operators on l2, Tamkang J. Math. 39 (2008), 347-352] to characterize antinormal composition operators on l2(λ). © 2016, Drustvo Matematicara Srbije. All rights reserved.
Antinormal Weighted Composition Operators
(Hindawi Publishing Corporation, 2016) Dilip Kumar; Harish Chandra
Let l 2 = L 2 N, μ, where N is set of all positive integers and μ is the counting measure whose σ -algebra is the power set of N. In this paper, we obtain necessary and sufficient conditions for a weighted composition operator to be antinormal on the Hilbert space l 2. We also determine a class of antinormal weighted composition operators on Hardy space H 2 D. © 2016 Dilip Kumar and Harish Chandra.
Antinormal weighted composition operators on L2(μ) - space of an atomic measure space
(Springer, 2020) Dilip Kumar; Harish Chandra
Let L2(μ) denote the separable Hilbert space associated with a σ-finite atomic measure μ. In this paper, we determine necessary and sufficient conditions for boundedness of weighted composition transformation on L2(μ) and give a characterization of antinormal weighted composition operators on L2(μ). © 2018, The Author(s).
Blockchain-based smart dairy supply chain: catching the momentum for digital transformation
(Emerald Publishing, 2025) Rajeev Kumar; Dilip Kumar
Purpose: This research attempted to establish the underlying dimensions of supply chain management practices, blockchain technology and supply chain performance in the Indian dairy industry. Additionally, the study proposes a conceptual model that shows the mediating effects of blockchain technology in the relationship between supply chain management practices and supply chain performance. Design/methodology/approach: Structural equation modelling (SEM) is incorporated to examine the proposed model using SPSS and AMOS version 24. The study population includes 119 registered Indian dairy processing units operating in Uttar Pradesh and New Delhi (source: Dairy – India). Individual registered dairy processing unit's top four executives, that is Head of the Dairy Processing Plant, Supply Chain head and Marketing Head, and IT head are chosen as the respondents of the study, which renders the sample size of 476. Judgmental sampling based on the organisation's market position and plant production capacity (i.e. one lakh litre per day) has been set as the benchmark for selecting the dairy processing units. The executives are selected as respondents as they are well-versed in the phenomenon of supply chain management practices, blockchain technology and supply chain performance compared to other staff working in the dairy industry. The data was collected from December 2021 to March 2022 through judgmental sampling. The target sample size was 476, but only 286 questionnaires were received in a completed state and were further used for analysis. Findings: Manufacturing practices, information sharing, distribution management, inventory management and blockchain technology have a significant and positive impact on supply chain performance in the Indian dairy industry. Furthermore, the research demonstrates that blockchain technology partially mediates the relationship between supply chain management practices and supply chain performance in the context of the Indian dairy industry. Research limitations/implications: This research is focused on the Indian dairy industry operating in only two states, namely New Delhi and Uttar Pradesh. More research is needed to determine whether SCM practices and the prospects for blockchain technology among channel members are universally applicable to merchants in non-dairy products. Similar investigations should be carried out on dairy industry operating in various formats and in numerous geographic locations. Further, case studies can be conducted by future researchers to learn how supply chain management methods are deployed, what precisely these practices entail and what costs and time demands are required by these practices in context of small independent retailers across different germane expanse. Originality/value: While the available literature on the research area is spread out, the influence of blockchain technology in the Indian dairy industry has not yet been sufficiently analysed. Therefore, the research article focused on exploring underlying dimensions of the constructs of supply chain management practices, blockchain technology adoption and supply chain performance in the context of the Indian dairy industry. © 2023, Emerald Publishing Limited.
Customer purchase intention towards dairy products: An empirical study through SEM
(IGI Global, 2021) Rajeev Kumar; Dilip Kumar
The research paper attempts to understand the various parameters leading to customer purchase intention toward the dairy products. The study paper draws its insights and conclusions by using exploratory factor analysis (EFA) followed by incorporating confirmatory factor analysis (CFA) statistical technique along with using structural equation modeling (SEM). As per the outcome of the study, customer services variable comes out to most positively influence the attitudes of the consumers towards purchase intention followed by price of the product, quality of the dairy products, and last but not least, product packaging. This research paper identifies various factors which are making an impact on the customers' minds while purchasing milk and milk products. This paper carried out a review of literature in the field of customer purchase intention and dairy industry in order to understand the current practices, identify gaps, and suggest future research agendas. Copyright © 2021, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
Customers perception ATM services
(Blue Eyes Intelligence Engineering and Sciences Publication, 2019) Pawas Kumar; Dilip Kumar; Abhishek Kumar
ATMs are electronic machines which can be operated by customer for availing various types of banking services. They are easy to operate and having various advantages for customers. ATMs perform various functions like depositing or withdrawing cash at customers will. In fact, ATMs provide 9 different types of services to their customers. It not only saves the time of customers by giving them the freedom to operate according to their convenience but it even lowers the work load of banks as well. State Bank of India is having one of the world’s largest chain of ATM network containing around 60,000 ATMs all across India. These numbers are like double edged sword for the institution as SBI management has to put its best foot forward for delivering world class service to their customers. For example, customers have faced the problem of non-operational SBI ATMs without knowing the time up to which it will again become operational. There should be some kind of technique by which they may know by what time it will again become operational. In developing country like India where majority of population still leaves in villages and small towns, spreading awareness about ATMs is quite a challenge. A good number of customers still prefer to transact through manual mode instead of e-banking mode due to lack of required skills for operating banking services online. There is a need of creating a sense of awareness among the rural customers towards the benefits of using ATMs for financial transactions. This research exercise is a humble attempt from the side of the researcher to discuss the perception of customers regarding SBI ATMs in region I of Varanasi city. © BEIESP.
Edge, Fog, and Cloud Computing in Industry 5.0
(Springer Science+Business Media, 2025) Asit Kumar Pradhan; Dilip Kumar; Manoj Kumar Mishra; Manoj Kumar Singh
The fourth industrial revolution focused more on increasing automation and real-time oriented control systems in factories by integrating leading-edge technologies lessening human interference. Whereas fifth industry revolution, commonly known as Industry 5.0 is the succeeding stage of industrial revolution, emphasizing human technology along with cutting-edge technologies generate highly customized and environmentally friendly production processes. Industry 5.0 indicates that human working along with robots and smart devices by leveraging cutting-edge technologies like the robotics, Internet of Things (IoT), big data, and AI. Computing paradigms like edge, fog, and cloud computing are essential to Industry 5.0’s success and implementation. Industrial automation requires the ability of data exchange, data processing, data analytics, and decision-making. Edge, fog, and cloud computing along with IoT and Artificial Intelligence (AI) technologies provide high-performance computing power to achieve this goal. Edge computing allows Industry 5.0 to access and share information about their industries through standard hardware and software resources at network’s edge. The intermediary computing paradigm like fog computing brings networking, stowing, and processing more rapidly to the data source by providing a decentralized computing infrastructure which enlarges the possibilities of cloud computing to the network’s edge. The combination of these above computing paradigms is made possible by cloud computing, resulting in a full ecosystem that improves productivity, creativity, and human-centered operations. This chapter provides a brief idea on the architecture, characteristics, use cases, current state of the art and challenges of edge, fog, and cloud computing in Industry 5.0. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
Impact of banana puree on viability of probiotic soy yoghurt during storage
(Journal of Pure and Applied Microbiology, 2014) Dilip Kumar; S.N. Thakur; Dinker Singh
The present investigation was made with an attempt to manufacture banana based probiotic soy yoghurt with addition of probiotic culture and banana puree, were examined. Probiotic soy yoghurt samples were produced from soy milk fermented with yoghurt and probiotic culture i.e. Streptococcus thermophilus NCDC-074, Lactobacillus delbrueckii ssp. bulgaricus NCDC-009, Lactobacillus acidophilus NCDC-15 and Bifidobacterium bifidum NCDC-235. The viability (SPC) of these four strains were analyzed during storage at refrigerated temperature with the selective media of MRS, ST, MRS-sorbitol and MRS-maltose agar. These counts generally decreased during the storage period. Supplementation of banana fortified soy yoghurts with 5, 10 and 15% of banana puree, improved the viability of probiotic bacteria during storage period. However, the yoghurt supplemented with banana puree, at 15% level, showed highest viability (10 6 cfu/g) among all treatment combinations up to four weeks of refrigerated storage.
Nelumbo nucifera leaves as source of water-repellent wax: Extraction through polar and non-polar organic solvents
(Elsevier B.V., 2022) Aradhya Dev Srivastav; Vireshwar Singh; Deepak Singh; Sunita Singh; Suresh Kumar Patel; Dilip Kumar; Sudeep Yadav; Balendu Shekher Giri; Dhananjay Singh
Nelumbo nucifera leaves are rich source of natural wax possessing super-hydrophobic properties. It provides protection to them from ecological turbulences and climatic wear and tear. In this study, various experiments have been conducted to observe the yield of extraction and the determination of various functional groups, which are present in natural wax, derived from Nelumbo nucifera leaves. The natural wax has been extracted from lotus leaves through non-polar (hexane) and polar (ethanol) solvent via different extraction methods. The superhydrophobic wax has been successfully extracted with hexane. Whereas, ethanol did not extract the water-repellent wax of lotus leaf. Considering the cumulative amount, i.e. (desired + undesired), the maceration shows the extraction of 2.9% (%w/w, through hexane) and 10.2% (%w/w, through ethanol), while it was found 2.5% (%w/w, cycle period 15 min) and 9.0% (%w/w, cycle period 26 min) respectively, in case of Soxhlet extraction technique. For this specific case of natural wax recovery from biomass (lotus leaf), the maceration (traditional method) resulted a little bit superior extraction yield in comparison to the Soxhlet extraction method for extraction of crude wax. In the case of non-polar solvent (hexane), an extraction yield of 1.97% (%w/w) through maceration method was observed while in the case of non-polar solvent (ethanol), an extraction yield of 1.62% (%w/w) through Soxhlet extraction was observed. The TLC analysis on both types of extracts was performed. For the detection of various hydrocarbon chains in the crude wax extracts, FTIR was also performed. Topography of wax surface and wax-coated waterproof fabric was compared through SEM. © 2022 Indian Chemical Society