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Article
Publication date: 27 November 2009

A. Vadivel, Shamik Sural and A.K. Majumdar

The main obstacle in realising semantic‐based image retrieval from the web is that it is difficult to capture semantic description of an image in low‐level features. Text‐based…

880

Abstract

Purpose

The main obstacle in realising semantic‐based image retrieval from the web is that it is difficult to capture semantic description of an image in low‐level features. Text‐based keywords can be generated from web documents to capture semantic information for narrowing down the search space. The combination of keywords and various low‐level features effectively increases the retrieval precision. The purpose of this paper is to propose a dynamic approach for integrating keywords and low‐level features to take advantage of their complementary strengths.

Design/methodology/approach

Image semantics are described using both low‐level features and keywords. The keywords are constructed from the text located in the vicinity of images embedded in HTML documents. Various low‐level features such as colour histograms, texture and composite colour‐texture features are extracted for supplementing keywords.

Findings

The retrieval performance is better than that of various recently proposed techniques. The experimental results show that the integrated approach has better retrieval performance than both the text‐based and the content‐based techniques.

Research limitations/implications

The features of images used for capturing the semantics may not always describe the content.

Practical implications

The indexing mechanism for dynamically growing features is challenging while practically implementing the system.

Originality/value

A survey of image retrieval systems for searching images available on the internet found that no internet search engine can handle both low‐level features and keywords as queries for retrieving images from WWW so this is the first of its kind.

Details

Online Information Review, vol. 33 no. 6
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 12 August 2024

Mrutyunjaya Sahoo, Shiba Prasad Mohanty and Praveen Sahu

This study aims to investigate the effect of monetary policy transmission on the use-based classification of manufacturing industries in India, an integral aspect influencing the…

91

Abstract

Purpose

This study aims to investigate the effect of monetary policy transmission on the use-based classification of manufacturing industries in India, an integral aspect influencing the overall economic growth of the nation.

Design/methodology/approach

The empirical study applies a panel autoregressive distributed lag model to examine the relationship/association between monetary policy transmission mechanism and the output of manufacturing industries in the long run and short run.

Findings

In the long run, the findings reveal a negative association between money supply and manufacturing industries’ output, indicating that an increase in money supply corresponds to a decrease in manufacturing output. Conversely, a positive relationship is observed between manufacturing industries’ output and banks’ credit, indicating that an increase in bank credit leads to a corresponding increase in manufacturing output. In the short run, the results highlight a significant positive relationship between manufacturing output and monetary policy transmission variables, including money supply, statutory liquidity ratio, real exchange rate and foreign direct investment. The use-based classification of manufacturing industries such as primary goods, capital goods and intermediate goods exhibits greater responsiveness to monetary policy shocks than consumer durables and non-durables goods.

Research limitations/implications

Policymakers are advised to regulate credit expansion to support the industry without risking financial instability, with key recommendations including stimulating consumer demand and adopting sector-specific policies to promote sustainable growth across diverse manufacturing sectors.

Originality/value

India, being a developing economy, efficient monetary policy transmission is crucial for boosting manufacturing output and employment. Nevertheless, there has been a scarcity of research concentrated on this pivotal intersection. This study aims to fill that gap, providing fresh insights into how monetary policy affects the growth of the manufacturing industry.

Details

International Journal of Law and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-243X

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Article
Publication date: 3 January 2017

Shen Qiu, Xugang Zhang, Yawen Li, Ting Sun, Chenlong Wang and Chuanli Qin

The purpose of this paper is to conduct the synthesization of LiFePO4-C (LFP-C) with fine particle size and enhanced electrochemical performance as the positive electrode material…

197

Abstract

Purpose

The purpose of this paper is to conduct the synthesization of LiFePO4-C (LFP-C) with fine particle size and enhanced electrochemical performance as the positive electrode material for Li-ion capacitors (LICs) with neutral aqueous electrolyte.

Design/methodology/approach

LFP-C was prepared by using polyethylene glycol (PEG) as a grain growth inhibitor, and the effects of the calcination temperature and PEG content on the structure and morphology of LFP-C were investigated. LICs using environment-friendly, safe and low-cost LiNO3 aqueous electrolyte were assembled with LFP-C as the positive electrode and active carbon as the negative electrode. The electrochemical performances of LFP-C and LICs were studied.

Findings

The results show that the particle size of LFP-C decreases significantly through the introduction of PEG. Cyclic voltammetry results show that the LFP-C prepared at 550°C with 1.0 g PEG exhibits the highest Cpe of 725 F/g at the scanning rate of 5 mA/s. Compared to LFP prepared without PEG, the electrochemical performance of optimized LFP-C dramatically increases due to the decrease of the particle size. Moreover, the LIC assembled with the optimized LFP-C exhibits excellent electrochemical performances. The LIC maintains about 91.3 per cent of its initial Cps after 200 cycles which shows a good cycling performance.

Research limitations/implications

The LFP-C is the suitable positive electrode material for LICs with neutral aqueous electrolyte. LICs can be used in the field of automobiles and can solve the problems of energy shortage and environmental pollution.

Originality/value

Both the LFP-C with fine particle size and its optimal LIC using environment-friendly, safe and low-cost LiNO3 aqueous electrolyte own good electrochemical performances.

Details

Pigment & Resin Technology, vol. 46 no. 1
Type: Research Article
ISSN: 0369-9420

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Article
Publication date: 10 August 2015

Shivam Singh and Vipul .

The purpose of this paper is to test the pricing performance of Black-Scholes (B-S) model, with the volatility of the underlying estimated with the two-scale realised volatility…

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Abstract

Purpose

The purpose of this paper is to test the pricing performance of Black-Scholes (B-S) model, with the volatility of the underlying estimated with the two-scale realised volatility measure (TSRV) proposed by Zhang et al. (2005).

Design/methodology/approach

The ex post TSRV is used as the volatility estimator to ensure efficient volatility estimation, without forecasting error. The B-S option prices, thus obtained, are compared with the market prices using four performance measures, for the options on NIFTY index, and three of its constituent stocks. The tick-by-tick data are used in this study for price comparisons.

Findings

The B-S model shows significantly negative pricing bias for all the options, which is dependent on the moneyness of the option and the volatility of the underlying.

Research limitations/implications

The negative pricing bias of B-S model, despite the use of the more efficient TSRV estimate, and post facto volatility values, confirms its inadequacy. It also points towards the possible existence of volatility risk premium in the Indian options market.

Originality/value

The use of tick-by-tick data obviates the nonsynchronous error. TSRV, used for estimating the volatility, is a significantly improved estimate (in terms of efficiency and bias), as compared to the estimates based on closing data. The use of ex post realised volatility ensures that the forecasting error does not vitiate the test results. The sample is selected to be large and varied to ensure the robustness of the results.

Details

Managerial Finance, vol. 41 no. 8
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 18 February 2021

Javed Ahmad Bhat and Sajad Ahmad Bhat

This paper attempts to examine the transmission of exchange rate changes into the domestic prices together with other important determinants of later, in case of a developing…

494

Abstract

Purpose

This paper attempts to examine the transmission of exchange rate changes into the domestic prices together with other important determinants of later, in case of a developing country, namely, India.

Design/methodology/approach

In an open economy Philips curve framework, a symmetric model developed by Pesaran et al. (2001) together with a complete asymmetric model developed by Shin et al. (2014) has been applied to assess the transmission of exchange rate changes into the domestic prices (inflation) of India. In addition, non-linear cumulative dynamic multipliers are used to portray the route between disequilibrium position of short run and new long-run equilibrium of the system. The multipliers highlight the asymmetric adjustment paths and/or duration of disequilibrium and therefore add valuable information to the long and short-run asymmetry.

Findings

In symmetric framework, exchange rate pass-through is reported to be incomplete and short-run pass through is found to be lower than the long-run pass through. A contractionary monetary policy stance is observed to decrease inflation in the long-run only and in the short-run, a case for price puzzle is observed, although the coefficient is statistically insignificant. Similarly, the impact of output growth is positive in both the short and long-run and both the coefficients are statically significant. Finally, the oil price inflation is also found to escalate the domestic inflationary pressures in both the short and long run, although the pass-through transmission is lower in the short-run than in the long-run. In case of an asymmetric setting, evidence in favour of directional asymmetry is reported whereby long-run impact of currency appreciation is found to be higher than depreciation. Similarly, a contractionary monetary policy action lowers the inflation, the easy one increases it; however, the impact of both the positive and negative changes in interest rate is found to be symmetric. An increase in GR is found to increase the inflation by a relatively appreciable magnitude than is observed when the fall in GR is reported. The possible reason for this asymmetric response of inflation may be explained in terms of asymmetric behaviour of demand conditions during economic upturns and downturns and downward inflexibility of prices. Finally, the transmission of oil price inflation to domestic inflation is also found to be asymmetric. An increase in oil price inflation leads to an increase in domestic inflation by a higher magnitude. whereas a decrease in it lowers inflation only marginally.

Practical implications

From a policy perspective, it is certainly important for the central banks to monitor the exchange rate changes so as to design the appropriate policy actions to resist any inflationary pressures resulting from the external sector. More importantly, a gauge on the factors that lead to destabilizing exchange rate movements or large currency price fluctuations is highly warranted. The results also highlight the relevance of proper domestic demand management and lowering dependence on oil imports to avoid the unnecessary inflation pressures in the economy.

Originality/value

While some studies have explored the possibilities of asymmetric interactions in the case of India, however, these studies have considered only the partial asymmetric model specifications and have not included a well-established theoretical base to include the other potential determinants of inflation as well. In this regard, the authors applied a complete asymmetric model specification developed by Shin et al. (2014) in an open economy Philips curve framework to assess the transmission of exchange rate changes into the domestic prices (inflation) of India. This paper will enrich the existing literature from a viewpoint of a comprehensive analysis of exchange rate pass-through by taking note of potential asymmetries coupled with other important determinants of inflation.

Details

International Journal of Emerging Markets, vol. 17 no. 8
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 10 April 2017

Ganesh Babu Katam, Veeresh Babu A., Madhu Murthy K. and Ganesh S. Warkhade

This study aims to find a new alternate source for biodiesel conversion. The alternate source must be easily available, and it should give more oil yield than available edible…

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Abstract

Purpose

This study aims to find a new alternate source for biodiesel conversion. The alternate source must be easily available, and it should give more oil yield than available edible, inedible sources. To meet the fuel demand in the transportation sector with edible oil-based biodiesel causes food versus fuel crisis. In addition to this, it increases NOx and CO2 in the environment.

Design/methodology/approach

The present paper reviews the comparison of algae oil yield, fatty acid composition and its biodiesel properties’ effect on diesel engine characteristics.

Findings

Algae were the only source to fulfil fuel demand because its oil and biodiesel yield is higher than other sources. Algae can grow by capturing carbon dioxide from the environment, and its fatty acid composition is more suitable to run diesel engines.

Originality/value

There is an improvement in engine performance–emission tradeoff with algal biodiesel.

Details

World Journal of Engineering, vol. 14 no. 2
Type: Research Article
ISSN: 1708-5284

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Article
Publication date: 23 August 2024

Yali Guo, Hui Liu, Luyuan Gong and Shengqiang Shen

The purpose of this paper is to analyze the mechanism of nanofluid enhanced heat transfer in microchannels and promote the application of nanofluids in industrial processes such…

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Abstract

Purpose

The purpose of this paper is to analyze the mechanism of nanofluid enhanced heat transfer in microchannels and promote the application of nanofluids in industrial processes such as solar collectors, electronic cooling and automotive batteries.

Design/methodology/approach

The two-phase lattice Boltzmann method was used to calculate the flow and heat transfer characteristics of Al2O3 nanofluids in a microchannel at Re = 50. By comparing the simulation results of pure water, nanofluids without calculated nanoparticle-fluid interaction forces and nanofluids with calculated nanoparticle-fluid interaction forces, the effects of physical properties improvement and interaction forces on flow and heat transfer are quantified.

Findings

The findings show that the nanofluid (φ = 3%, R = 10 nm) increases the average Nusselt number by 22.40% at Re = 50. In particular, 16.16% of the improvement relates to nanoparticles optimizing the thermophysical parameters of the base fluid. The remaining 6.24% relates to the disturbance of the thermal boundary layer caused by the interaction between nanoparticles and the base fluid. Moreover, the nanoparticle has a negligible effect on the average Fanning friction factor. Ultimately, we conclude that the nanofluid is an excellent heat transfer working medium based on its performance evaluation criterion, PEC = 1.225.

Originality/value

To the best of the authors' knowledge, this research quantifies for the first time the contribution of nanoparticle-liquid interactions and nanofluids physical properties to enhanced heat transfer, advancing the knowledge of the nanoparticle's behavior in liquid systems.

Details

Multidiscipline Modeling in Materials and Structures, vol. 20 no. 5
Type: Research Article
ISSN: 1573-6105

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Article
Publication date: 25 October 2021

Venkata Dasu Marri, Veera Narayana Reddy P. and Chandra Mohan Reddy S.

Image classification is a fundamental form of digital image processing in which pixels are labeled into one of the object classes present in the image. Multispectral image…

122

Abstract

Purpose

Image classification is a fundamental form of digital image processing in which pixels are labeled into one of the object classes present in the image. Multispectral image classification is a challenging task due to complexities associated with the images captured by satellites. Accurate image classification is highly essential in remote sensing applications. However, existing machine learning and deep learning–based classification methods could not provide desired accuracy. The purpose of this paper is to classify the objects in the satellite image with greater accuracy.

Design/methodology/approach

This paper proposes a deep learning-based automated method for classifying multispectral images. The central issue of this work is that data sets collected from public databases are first divided into a number of patches and their features are extracted. The features extracted from patches are then concatenated before a classification method is used to classify the objects in the image.

Findings

The performance of proposed modified velocity-based colliding bodies optimization method is compared with existing methods in terms of type-1 measures such as sensitivity, specificity, accuracy, net present value, F1 Score and Matthews correlation coefficient and type 2 measures such as false discovery rate and false positive rate. The statistical results obtained from the proposed method show better performance than existing methods.

Originality/value

In this work, multispectral image classification accuracy is improved with an optimization algorithm called modified velocity-based colliding bodies optimization.

Details

International Journal of Pervasive Computing and Communications, vol. 17 no. 5
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 28 October 2020

Chandrashekar Raghutla and Krishna Reddy Chittedi

The study investigates the impact of financial development, urban population, technology and energy consumption on economic output and carbon emissions in Brazil, Russia, India…

667

Abstract

Purpose

The study investigates the impact of financial development, urban population, technology and energy consumption on economic output and carbon emissions in Brazil, Russia, India, China and South Africa (BRICS) economies.

Design/methodology/approach

The study uses Johansen Fisher type panel cointegration, fully modified ordinary least square and heterogeneous panel causality tests to examine long-run, long-run elasticities and short-run relationships. For conducting the tests, the study selected five emerging economies, i.e. Brazil, Russia, India, China and South Africa and used balanced panel data for the period between 1998 and 2016.

Findings

The empirical results confirm the presence of a long-run cointegration relationship among the variables. We find that financial development, technology and energy consumption have a considerable positive impact on economic output. Also, financial development, urban population and technology help reduce carbon (CO2) emissions and ensure an improved environmental quality in the long run in the five emerging economies. In the short run, a bidirectional causal relationship is noticed between financial development and CO2 emissions.

Practical implications

Clean energy, technological development and investments by public–private partnerships are required in the public and private sectors to reduce carbon emissions. This not only ensures improved environmental quality but also increases energy efficiency, thereby reducing dependency on traditional energy consumption.

Originality/value

As its contribution to the extant literature, the study examines the impact of financial development, energy consumption, technology, urbanization, economic output and carbon emissions in BRICS economies. The findings of the research suggest both the governments and policymakers of these five emerging economies to develop more effective policies toward bolstering the financial development and increasing the use of technology. These, in turn, ensure sustainable development with low CO2 emission in the future and, eventually, pushing those five emerging market economies toward sustainable economic growth.

Details

Management of Environmental Quality: An International Journal, vol. 32 no. 2
Type: Research Article
ISSN: 1477-7835

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Article
Publication date: 26 November 2024

Senghazhani Murugesan Vadivel, Vimal Kumar and Pratima Verma

This study attempts to analyze the overall effectiveness of Lean System (LS)-based India post facility layout design (FLD) selection.

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Abstract

Purpose

This study attempts to analyze the overall effectiveness of Lean System (LS)-based India post facility layout design (FLD) selection.

Design/methodology/approach

We have grouped all Lean Six Sigma elements into three different categories: Lean Technical Practices, Lean Workplace Environment Practices, and Lean Ergonomics Practices based on literature support and field surveys in the Indian postal service. Further, it employs a mathematical model known as the graph theory (GT) method. From the GT approach, interactions were identified through LS tools represented through the digraph, matrix model approach. This study was directed at the National Sorting Hub in Mysuru, Karnataka, in the southern part of India. A number of insights were given in the GT area where FLD is possible to evaluate.

Findings

The results showed that Layout five has the highest value, followed by Layout one from the GT approach. The relative relevance and effect values are given as inputs to the permanent function in the digraph technique, and an evaluation index is obtained as an output.

Research limitations/implications

When solving any optimization issue with a high number of attributes, the digraph and matrix technique is successful. The layouts that have been identified have yielded valuable insights into how to enhance critical decision-making processes, which are necessary to accomplish company strategic objectives like growing postal business services.

Originality/value

The process operations carried out in India post service as well as its heterogeneity of articles and the intangible measures of production are the significant challenges to keenly analyze the layout design through lean service principles.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

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