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- 저자 : Atul Kumar (검색결과 50 건)
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Atul Kumar Sahu,Abhijeet Katyayan,Umesh Khandey,Prashant Jangde,Anoop Kumar Sahu,Nitin Kumar Sahu 인하대학교 정석물류통상연구원 2023 JOURNAL OF INTERNATIONAL LOGISTICS AND TRADE Vol.21 No.1
Purpose – Block chain technology (BCT) has apparent capability of handling information in digital format, which has dragged attention of the practitioners for its utility in industrial and manufacturing practices. Conversely, the managerial adoption of BCT is relatively limited, which motivated the authors to identify crucial dimensions that can persuade the acceptance of BCT from an executive perspective. Thus, the present study is aimed to conduct to understand crucial barriers under BCT for managerial implementation in supply chain management (SCM) of small and medium enterprises (SMEs). Design/methodology/approach – The present study investigated evident barriers to understand implementation of BCT. A questionnaire based survey is performed to collect primary data from service and manufacturing based companies in India. Survey responses are received online and the data is analyzed in a scorecard. The scorecard embedded the scribed entries of Likert scale to determine the relative score. Findings – In present study, sixteen barriers from three categories named as technological, organizational and environmental are evaluated, where, five sub-barriers from technological domain, seven sub-barriers from organizational domain and four sub-barriers from environmental domain are evaluated. The findings of the study determined that the three factors, i.e. “complexity in setup/use”, “Security and privacy concern” and “Technological awareness” mostly affect the adaptation of BCT in SCM. Conversely, “Market dynamics”, “Scalability” and “Cost” do not influence the intention to adopt the technology. Originality/value – Only few studies have endeavored to ascertain the BCT adoption in SCM of SMEs in developing country like India. Thus, the study is filling a momentous gap of mapping BCT dimensions in the scholastic literature. The findings are expected to enable SMEs to understand important factors to be considered for adopting BCT in their curriculum. Furthermore, the study may benefit the BCT developers and suppliers to endure customized solutions based on the findings.
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Saha, Atul Kumar,Kumar, N. Suresh,Chakrbarty, Satadal,Patnaik, Bharat Bhusan,Nayak, Sandeepta Kumar,Roy, Subrata,Bindroo, Bharat Bhushan Korean Society of Sericultural Science 2013 International Journal of Industrial Entomology Vol.26 No.1
The reproductive performance of multivoltine breed 'Nistari' and bivoltine breeds as NB18, P5 and a bivoltine hybrid (NB18 ${\times}$ P5) of B. mori were studied in different seasons in terms of total number of eggs laid, unlaid and hatching efficiency of the laid eggs to critically assess the breeds / hybrid potentiality. The bivoltine hybrid showed better performance in all the seasons as compared to the breeds investigated, as expected due to possibility of hybrid vigour. Among the breeds, bivoltine P5 had a better egg laid performance in S1 (February - March), S2 (May - June) and S3 (September - October) seasons but with an increase in the number of unlaid eggs. The hatching percentage, although didn't show any definitive trend, still suggested a marginal better performance in the hybrid. Most importantly, egg laying rhythmicity was studied by mating the female moth at 6.00 a.m. for $3{\frac{1}{2}}$ hours, and subsequently allowing the laying of eggs both under BOD condition ($25{\pm}1^{\circ}C$ and $85{\pm}5%$ RH) and at ambient temperature ($23-28^{\circ}C$ and $74.7{\pm}5%$) separately. Maximum (90%) egg laid occurred from 3.30 to 7.30 pm (i.e. 4 - 6 h after decoupling). Similar laying patterns were observed when females where mated at 12 noon and decoupled at 3.30 pm, revealing that late photoperiod and early scotoperiod were favourable for egg laying in case of multivoltine breed and bivoltine prefers late photoperiod for egg laying.
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Kumar, Anil,Gupta, Nidhi,Gupta, Atul Kumar,Gaur, Vikram Singh 한국작물학회 2009 Journal of crop science and biotechnology Vol.12 No.4
Worldwide, the nitrogen use efficiency (NUE) for crop plants is of great concern. The burgeoning world population needs crop genotypes that respond to higher nitrogen and show a direct relationship to yield with use of nitrogen inputs, i.e. high nitrogen-responsive genotypes. However, for fulfilling the high global demand of organic produce, it requires the low nitrogen responsive genotypes with greater NUE and grain yields. The lack of knowledge about precise regulatory mechanisms to explain NUE in crop plants hampers the goal of agricultural productivity. Understanding the molecular basis of NUE will enable to provide handle for crop improvement through biotechnological means. With the advent of modern genomics and proteomics approaches such as subtractive hybridization, differential display, and microarray techniques are revolutionizing to identify the candidate genes which play a pivotal role in the regulation of NUE. Beside it, quantitative real-time polymerase chain reaction technology is also being used to establish marker-trait association for NUE. The identification of potential candidate genes/proteins in the regulation of NUE will serve as biomarker(s) for screening genotypes for their nitrogen responsiveness for optimization of nitrogen input in agriculture. This paper describes the molecular basis of NUE with respect to nitrogen metabolism and its intimate relationship with carbon metabolism, use of molecular-physiological-genetics approaches for understanding the role of various genes/proteins, and their validation to use as biomarker(s) for determining genotypic potential for NUE. Since NUE in plants is a complex trait which not only involves the primary process of nitrogen uptake and assimilatory pathways but also a series of events, including metabolite partitioning, secondary remobilization, C-N interactions, as well as molecular signalling pathways and regulatory control outside the metabolic cascades. Therefore, identification of novel nitrogen responsive genes and their cis- and trans-acting gene elements is essential. Thus, fishing out a single gene, biomarker or a master regulator controlling complex trait of NUE could serve as an appropriate strategy for nitrogen management in agriculture.
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Studies on Determination of Larval Critical Weight in Silkworm, Bombyx mori L.-An Index of Quality
( Atul Kumar Saha ),( Anath Bandhu Chaudhuri ),( S Monthira Moorthy ),( Subrata Roy ) 한국잠사학회 2009 International Journal of Industrial Entomology Vol.19 No.2
The Larval critical weight is the minimal mass at which further growth in not necessary for a normal time course to pupation. Larval critical weight (Lcw), pupal critical weight (Pcw) and adult critical weight (Acw) of different breeds of Bombyx mori L. were determined through starvation (food deprivation). The Lcw was found to be about 938.46, 2397.26, 2283.57 and 2220.97 mg in males and 1118.15, 2681.04, 2604.9 and 2455.88 mg in females of the multivoltine breed (Nistari), Bivoltine breeds (P5&NB18) and their hybrid (P5×NB18) respectively. Bivoltine breed P5 took more time (3.35 days) followed by NB18 (3.13 days)&P5×NB18 (3.02 days) to attain larval critical weight (In 5th Instar) than the multivoltine breed Nistari (2.42 days). Decrease in weight from larval maximal weight to pupal weight and to adult weight was also observed more in multivoltine than bivoltines, which may be due to more latent feeding period in bivoltines. Since Lcw is a stable character and independent of environment, it could be utilized for characterization of silkworm breeds to assess the quality of an insect.
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Atul Kumar Sahu,Amita Verma 한국약제학회 2016 Journal of Pharmaceutical Investigation Vol.46 No.3
The present research was intended to develop a gastroretentive controlled release multiparticulate delivery system for a hypoglycemic drug, metformin hydrochloride (MTF) that could efficiently deliver the drug in active form and also increase its systemic bioavailability. In vitro and in vivo evaluations were performed to determine the efficacy of the formulation. MTF loaded microspheres were prepared by W/O/O double emulsion-solvent evaporation method and optimized by 32 full factorial design. The ratio of eudragit RL100 & RS100 (EL:ES) and the chitosan concentration were evaluated as independent variables for dependent variables viz. percent drug release (%DR), percent yield (%Y) and encapsulation efficiency (EE). The morphological characteristics of the microspheres were assessed using scanning electron microscopy which revealed non-aggregated, spherical shape microspheres with rough and rugged surfaces. The particle size range of the formulated microspheres was found to be *74.77–111.18 lm. In vitro drug release best fitted Korsmeyer Peppas release characteristics with Fickian diffusion release mechanism. The optimized batch F1 demonstrated 84.17 ± 5.80 % drug release, 85.47 ± 0.28 % yield and 70.79 ± 0.67 % EE. Optimized batch performed superior pharmacokinetics with prolonged and increased intensity of hypoglycemic effect (87.68 ± 4.9 %) a relative bioavailability of 154.71 % with respect to the marketed product (56.67 ± 4.7 %). These findings highlight the potential of formulated microparticles as a superior candidate for gastro-retentive sustained release delivery of MTF with respect to marketed product.
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Atul Kumar,Mohd Haris Mohd Khir,Wan Ismail Wan Yusoff 한국지질과학협의회 2016 Geosciences Journal Vol.20 No.3
Accurate reservoir model requires complete information of subsurface properties, specifically porosity and permeability. Reservoir heterogeneity is the fundamental challenge for geoscientists to predict these properties which may affect the reservoir performance and their well productivity. Porosity is one of the key parameters for accumulation of hydrocarbon but its prediction is difficult due to significant variation over a reservoir volume. A spatial distribution of porosity can be investigated by integrating the 3-D seismic and well log attributes which may help in determining such reservoir variation. In addition, nonlinear multivariable regression techniques such as multivariable transform, Genetic algorithm, and Probabilistic Neural Network analysis have also been implemented to achieve high correlation coefficients between well log properties and seismic data. Results from nonlinear regression have better correlations than linear regression. In this study, a 3-D low frequency model (LFM) is proposed which can be estimated by kriging interpolation of resultant impedance values from well log data. Furthermore, “seismic inversion” is adopted for extracting correlated attributes to merge with the LFM so as to better construct a pseudo log volume. A polynomial neural network (PNN*1) is utilized to convert resultant acoustic impedance values into a distinct reservoir property such as porosity. PNN* is trained, tested and validated by using gammaray and resultant acoustic impedance values as input and effective porosity values as a target. The trained PNN* is then applied over the whole reservoir volume to generate a pseudo log volume. In the proposed low frequency model, an attempt has been made to achieve high correlation between the predicted and measured porosity logs. It will improve the reservoir characterization and lead to better estimation of hydrocarbon reserves. This low frequency model achieves better correlation between the predicted and true porosity log even with a minimum number of measured well logs.
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( Atul Kumar Sahaa ),( N. Suresh Kumara ),( Satadal Chakrbartya ),( Bharat Bhusan Patnaika ),( Sandeepta Kumar Nayakb ),( Subrata Royc ),( Bharat Bhushan Bindrooa ) 한국잠사학회 2013 International Journal of Industrial Entomology Vol.26 No.1
The reproductive performance of multivoltine breed ``Nistari`` and bivoltine breeds as NB18, P5 and a bivoltine hybrid (NB18 x P5) of B. mori were studied in different seasons in terms of total number of eggs laid, unlaid and hatching efficiency of the laid eggs to critically assess the breeds / hybrid potentiality. The bivoltine hybrid showed better performance in all the seasons as compared to the breeds investigated, as expected due to possibility of hybrid vigour. Among the breeds, bivoltine P5 had a better egg laid performance in S1 (February - March), S2 (May - June) and S3 (September - October) seasons but with an increase in the number of unlaid eggs. The hatching percentage, although didn`t show any definitive trend, still suggested a marginal better performance in the hybrid. Most importantly, egg laying rhythmicity was studied by mating the female moth at 6.00 a.m. for 3½ hours, and subse- quently allowing the laying of eggs both under BOD condition (25 ± 1°C and 85 ± 5% RH) and at ambient temperature (23 - 28°C and 74.7 ± 5%) separately. Maximum (90%) egg laid occurred from 3.30 to 7.30 pm (i.e. 4 - 6 h after decoupling). Similar laying patterns were observed when females where mated at 12 noon and decoupled at 3.30 pm, revealing that late photoperiod and early scotoperiod were favourable for egg laying in case of multivoltine breed and bivoltine prefers late photoperiod for egg laying.
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Comprehensive loss modeling in Cu2ZnSnS4 solar cells
Atul Kumar,Ajay D. Thakur 한국물리학회 2019 Current Applied Physics Vol.19 No.10
Thin film solar cells based on Cu2ZnSnS4 (CZTS) absorber material suffers from performance issues arising due to the presence of a non-optimal back contact barrier, low carrier lifetime, acceptor/donor point defects in bulk, interface defects at the absorber-buffer junction and grain boundaries within the absorber. We perform comprehensive simulations enumerating the impact of these performance limiting factors on CZTS solar cells. These simulations capture the experimentally observed anomalies in current-voltage (I–V) characteristics and the opencircuit voltage (VOC) pinning in CZTS solar cells. These cause-effect relationships as elaborated in the findings are expected to be of great interest to the experimentalists working in this field.
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