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Article
Publication date: 28 February 2023

V.H. Lad, D.A. Patel, K.A. Chauhan and K.A. Patel

The work on bridge resilience assessment includes quantitative and qualitative approaches to compare the multiple bridges based on their resilience. But still, the bridge…

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Abstract

Purpose

The work on bridge resilience assessment includes quantitative and qualitative approaches to compare the multiple bridges based on their resilience. But still, the bridge resilience obtained by these assessment approaches is inefficient when prioritising multiple bridges to improve their resilience. Therefore, this study aims to develop a methodology for prioritising the bridges to improve their resilience.

Design/methodology/approach

The research methodology follows three sequential phases. In the first phase, criteria importance through intercriteria correlation (CRITIC) technique is used to compute the criteria weights. The criteria considered are age, area, design high flood level, finish road level FRL and resilience index of bridges. While 12 river-crossing bridges maintained by one bridge owner are considered as alternatives. Then, in the second phase, the prioritisation of each bridge is evaluated using five techniques, including technique for order of preference by similarity to ideal solution, VIKOR (in Serbian, Visekriterijumska Optimizacija I Kompromisno Resenje), additive ratio assessment, complex proportional assessment and multi-objective optimisation method by ratio analysis. Finally, in the third phase, the results of all five techniques are integrated using CRITIC and the weighted sum method.

Findings

The result of the study enables bridge owners to deal with the particular bridge that requires resilience improvement. The study concluded that it is not enough to consider only the bridge resilience index to improve its resilience. The prioritisation exercise should consider various other criteria that are not preferred during the bridge resilience assessment process.

Originality/value

The proposed methodology is a novel framework based on the existing multi-criteria decision-making (MCDM) techniques for contributing knowledge in the domain of bridge resilience management. It can efficiently overcome the pitfall of decision-making when two bridges have the same resilience index score.

Details

Engineering, Construction and Architectural Management, vol. 31 no. 7
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 25 January 2021

Alpesh Vala, Amit V. Patel, Keyur Mahant, Jitendra Chaudhari and Hiren K. Mewada

The purpose of this paper is to design and develop half-mode substrate-integrated waveguide (HMSIW)- and quarter-mode substrate-integrated waveguide (QMSIW)-based antennas for…

282

Abstract

Purpose

The purpose of this paper is to design and develop half-mode substrate-integrated waveguide (HMSIW)- and quarter-mode substrate-integrated waveguide (QMSIW)-based antennas for wireless communication application. The developed antennas offer advantages in terms of compactness, high gain and better isolation between the ports.

Design/methodology/approach

Initially, the tri-band substrate-integrated waveguide-based antenna is designed using a slot on the ground plane. Then, the same structure has been bisected into two parts for the development of the HMSIW structure. Again the concept of the slot is used for the realization of a dual-band antenna. QMSIW-based structure is designed with further dividing HMSIW structure into two parts. Simulation has been carried out with the use of a high-frequency structure simulator (HFSS) software, which used a finite element-based solver for the full-wave analysis.

Findings

The proposed HMSIW-based dual-band antenna resonates at two different frequencies, namely, 5.81 GHz with 4.5 dBi gain and at 6.19 GHz with 6.8 dBi gain. Isolation between two ports is 20 dB. The overall dimensions of the proposed model are 0.39 λ × 0.39 λ. Similarly, QMSIW-based antenna is resonated at 5.66 GHz of the frequency with the 3 dBi gain. Frequency tuning is also carried out with the change in the slot dimension to use the proposed antenna in various C (4–8 GHz) band applications.

Originality/value

The proposed antennas can use C band wireless frequency application. The proposed structure provides better performance in terms of isolation between the ports, small size, high front-to-back ratio and higher gain. It is fabricated for the proof of concept with the RT Duroid 5880 substrate material having a 2.2 permittivity. Measured results show a similar kind of performance as a simulated one.

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Article
Publication date: 15 July 2020

Hiren K. Mewada, Jitendra Chaudhari, Amit V. Patel, Keyur Mahant and Alpesh Vala

Synthetic aperture radar (SAR) imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. This paper aims to…

287

Abstract

Purpose

Synthetic aperture radar (SAR) imaging is the most computational intensive algorithm and this makes its implementation challenging for real-time application. This paper aims to present the chirp-scaling algorithm (CSA) for real-time SAR applications, using advanced field programmable gate array (FPGA) processor.

Design/methodology/approach

A chirp signal is generated and compressed using range Doppler algorithm in MATAB for validation. Fast Fourier transform (FFT) and multiplication operations with complex data types are the major units requiring heavy computation. Therefore, hardware acceleration is proposed and implemented on NEON-FPGA processor using NE10 and CEPHES library.

Findings

The heuristic analysis of the algorithm using timing analysis and resource usage is presented. It has been observed that FFT execution time is reduced by 61% by boosting the performance of the algorithm and speed of multiplication operation has been doubled because of the optimization.

Originality/value

Very few literatures have presented the FPGA-based SAR imaging implementation, where analysis of windowing technique was a major interest. This is a unique approach to implement the SAR CSA using a hybrid approach of hardware–software integration on Zynq FPGA. The timing analysis propagates that it is suitable to use this model for real-time SAR applications.

Details

Circuit World, vol. 47 no. 2
Type: Research Article
ISSN: 0305-6120

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Article
Publication date: 5 February 2018

Kiran J. Patel and Hiren J. Patel

The purpose of this paper is to validate the technology acceptance model (TAM) and its extended form to understand the factors influencing internet banking adoption in Gujarat.

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Abstract

Purpose

The purpose of this paper is to validate the technology acceptance model (TAM) and its extended form to understand the factors influencing internet banking adoption in Gujarat.

Design/methodology/approach

Extended TAM incorporates perceived security and social influence, important variables in internet banking literature. Using a questionnaire survey, data relating to the variables are collected from 284 individuals who are/were using internet banking services and subjected to confirmatory factor analysis (CFA) to establish validity and structural equation modeling (SEM) to identify important factors influencing internet banking adoption.

Findings

The empirical results of SEM showed that the extended TAM has higher predictability than the TAM in internet banking settings. The results highlighted that the intention to use internet banking is positively influenced mainly by perceived security, followed by other significant factors, namely, perceived usefulness, perceived ease of use and social influence.

Practical implications

The findings of this paper enable internet banking service providers to develop/modify new/existing internet banking services in order to achieve higher adoption rates of internet banking.

Originality/value

Additional incorporated variables in a new model considerably contribute to improving the understanding of internet banking adoption in Gujarat.

Details

International Journal of Bank Marketing, vol. 36 no. 1
Type: Research Article
ISSN: 0265-2323

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Book part
Publication date: 15 March 2022

Toyoharu Takahashi

This chapter explores the yield curve movements in the interest rate swap markets of four major currencies, the Japanese yen (JPY), the US dollar (USD), the pound sterling (GBP)…

Abstract

This chapter explores the yield curve movements in the interest rate swap markets of four major currencies, the Japanese yen (JPY), the US dollar (USD), the pound sterling (GBP), and the Swiss franc (CHF), by principal component analysis (PCA), focusing on the explanatory power of each driver. Comparing the cumulative proportions of the first three principal components, the “level” changes seem to explain the yield curve movements far better than the “ratio” changes in the case of the JPY (96.1% vs. 38.3%) and CHF (97.2% vs. 41.9%), and they are only marginally worse for the USD (97.7% vs. 98.5%) and GBP (96.5% vs. 98.3%). In all markets, the explanatory power (proportion) of the first PC (PC1) is over 82%, and most of the movements can be explained by it. Furthermore, the explanatory power (cumulative proportion) from PC1 up to the third PC (PC3) is over 96%. Thus, it can be considered that most of the movements can be explained by the first three PCs. In addition, we investigate whether there is a structural change in yield curve movements before and after the global financial crisis of 2007–2008 (GFC). If we use daily “level” changes for the PCA, the GFC has no impact on the yield curve movements for all major currencies. The three PCs retain good explanatory power.

Details

Advances in Pacific Basin Business, Economics and Finance
Type: Book
ISBN: 978-1-80117-313-1

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Article
Publication date: 5 June 2020

Hiren Mewada, Amit V. Patel, Jitendra Chaudhari, Keyur Mahant and Alpesh Vala

In clinical analysis, medical image segmentation is an important step to study the anatomical structure. This helps to diagnose and classify abnormality in the image. The wide…

117

Abstract

Purpose

In clinical analysis, medical image segmentation is an important step to study the anatomical structure. This helps to diagnose and classify abnormality in the image. The wide variations in the image modality and limitations in the acquisition process of instruments make this segmentation challenging. This paper aims to propose a semi-automatic model to tackle these challenges and to segment medical images.

Design/methodology/approach

The authors propose Legendre polynomial-based active contour to segment region of interest (ROI) from the noisy, low-resolution and inhomogeneous medical images using the soft computing and multi-resolution framework. In the first phase, initial segmentation (i.e. prior clustering) is obtained from low-resolution medical images using fuzzy C-mean (FCM) clustering and noise is suppressed using wavelet energy-based multi-resolution approach. In the second phase, resultant segmentation is obtained using the Legendre polynomial-based level set approach.

Findings

The proposed model is tested on different medical images such as x-ray images for brain tumor identification, magnetic resonance imaging (MRI), spine images, blood cells and blood vessels. The rigorous analysis of the model is carried out by calculating the improvement against noise, required processing time and accuracy of the segmentation. The comparative analysis concludes that the proposed model withstands the noise and succeeds to segment any type of medical modality achieving an average accuracy of 99.57%.

Originality/value

The proposed design is an improvement to the Legendre level set (L2S) model. The integration of FCM and wavelet transform in L2S makes model insensitive to noise and intensity inhomogeneity and hence it succeeds to segment ROI from a wide variety of medical images even for the images where L2S failed to segment them.

Details

Engineering Computations, vol. 37 no. 9
Type: Research Article
ISSN: 0264-4401

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Book part
Publication date: 24 June 2017

Lukman Raimi

The chapter discusses Corporate Social Responsibility (CSR) with appropriate theoretical framings with the intent of creating a deeper understanding and application of CSR…

Abstract

The chapter discusses Corporate Social Responsibility (CSR) with appropriate theoretical framings with the intent of creating a deeper understanding and application of CSR theories in Ibero-America’s hospitality industry. The research method is a qualitative research approach relying on critical review of scholarly articles on CSR theories. The sourced articles were critically discussed and analysed to fit the needs of the hospitality industry in Ibero-America. The shareholder/agency, stakeholder, legitimacy, instrumental, social contract, conflict, green and communication theories were identified as the eight dominant theories of CSR with diverse applications in the hospitality industry. The CSR theories discussed are not exhaustive, as there are emerging theories that explicate CSR in different contexts. The implication is that better understanding and application of CSR theories would strengthen conceptual, theoretical and empirical research in Ibero-America. The CSR theories are useful sources of information for practitioners for designing corporate CSR policies as well as providing scholars with sound theoretical framework for academic research. The chapter is a novel attempt at bridging theory and practice in the field of CSR, as well enriching the understanding of this concept among both practitioners and scholars in Ibero-America.

Details

Corporate Social Responsibility and Corporate Governance
Type: Book
ISBN: 978-1-78714-411-8

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Article
Publication date: 9 September 2024

Yogesh Patil, Milind Akarte, K. P. Karunakaran, Ashik Kumar Patel, Yash G. Mittal, Gopal Dnyanba Gote, Avinash Kumar Mehta, Ronald Ely and Jitendra Shinde

Integrating additive manufacturing (AM) tools in traditional mold-making provides complex yet affordable sand molds and cores. AM processes such as selective laser sintering (SLS…

106

Abstract

Purpose

Integrating additive manufacturing (AM) tools in traditional mold-making provides complex yet affordable sand molds and cores. AM processes such as selective laser sintering (SLS) and Binder jetting three-dimensional printing (BJ3DP) are widely used for patternless sand mold and core production. This study aims to perform an in-depth literature review to understand the current status, determine research gaps and propose future research directions. In addition, obtain valuable insights into authors, organizations, countries, keywords, documents, sources and cited references, sources and authors.

Design/methodology/approach

This study followed the systematic literature review (SLR) to gather relevant rapid sand casting (RSC) documents via Scopus, Web of Science and EBSCO databases. Furthermore, bibliometrics was performed via the Visualization of Similarities (VOSviewer) software.

Findings

An evaluation of 116 documents focused primarily on commercial AM setups and process optimization of the SLS. Process optimization studies the effects of AM processes, their input parameters, scanning approaches, sand types and the integration of computer-aided design in AM on the properties of sample. The authors performed detailed bibliometrics of 80 out of 120 documents via VOSviewer software.

Research limitations/implications

This review focuses primarily on the SLS AM process.

Originality/value

A SLR and bibliometrics using VOSviewer software for patternless sand mold and core production via the AM process.

Details

Rapid Prototyping Journal, vol. 31 no. 1
Type: Research Article
ISSN: 1355-2546

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Book part
Publication date: 14 December 2018

Kathryn M. Nowotny

This review integrates and builds linkages among existing theoretical and empirical literature from across disciplines to further broaden our understanding of the relationship…

Abstract

This review integrates and builds linkages among existing theoretical and empirical literature from across disciplines to further broaden our understanding of the relationship between inequality, imprisonment, and health for black men. The review examines the health impact of prisons through an ecological theoretical perspective to understand how factors at multiple levels of the social ecology interact with prisons to potentially contribute to deleterious health effects and the exacerbation of race/ethnic health disparities.

This review finds that there are documented health disparities between inmates and non-inmates, but the casual mechanisms explaining this relationship are not well-understood. Prisons may interact with other societal systems – such as the family (microsystem), education, and healthcare systems (meso/exosystems), and systems of racial oppression (macrosystem) – to influence individual and population health.

The review also finds that research needs to move the discussion of the race effects in health and crime/justice disparities beyond the mere documentation of such differences toward a better understanding of their causes and effects at the level of individuals, communities, and other social ecologies.

Details

Inequality, Crime, and Health Among African American Males
Type: Book
ISBN: 978-1-78635-051-0

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Book part
Publication date: 4 March 2025

Nishi Malhotra and Palanisamy Saravanan

Abstract

Details

In Pursuit of the Sustainable Development Goals: Success Stories of Women Entrepreneurs in Emerging Economies
Type: Book
ISBN: 978-1-83608-533-1

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