In wireless sensor network (WSN), user authentication plays as a vital role in which data sensing, as well as sharing, will be spoiled by hackers. To enhance user security, user…
Abstract
Purpose
In wireless sensor network (WSN), user authentication plays as a vital role in which data sensing, as well as sharing, will be spoiled by hackers. To enhance user security, user authentication must be focused.
Design/methodology/approach
In previous works, for secured authentication, Enhanced User Authentication Protocol (EUAP) is presented. On the other hand, the user free password generation is permitted in the previous technique.
Findings
Here, password leakage may cause a malevolent user's contribution to the WSN environment. By presenting the Flexible and Secured User Authentication Protocol (FSUAP), this is solved in the presented technique in which secured as well as reliable sharing of data contents via unsecured wireless sensor devices was accomplished.
Originality/value
The foremost objective of the present technique is to device the protocol that would verify the users beforehand letting them access the sensor devices situated in various sites. The use of a sensor device could be reduced in a significant way. Three-factor authentication protocols are presented in place of two-factor authentication protocol in the presented technique that could deal with and safeguard the environment from a brute force attack in an effective manner.
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Senthilnathan T., Sujay Aadithya B. and Balachandar K.
This study aims to predict the mechanical properties such as equivalent tensile strength and micro-hardness of friction-stir-welded dissimilar aluminium alloy plates AA 6063-O and…
Abstract
Purpose
This study aims to predict the mechanical properties such as equivalent tensile strength and micro-hardness of friction-stir-welded dissimilar aluminium alloy plates AA 6063-O and AA 2014-T6, using artificial neural network (ANN).
Design/methodology/approach
The ANN model used for the experiment was developed through back propagation algorithm. The input parameter of the model consisted of tool rotational speed and weld-traverse speed whereas the output of the model consisted of mechanical properties (tensile strength and hardness) of the joint formed by friction-stir welding (FSW) process. The ANN was trained for 60% of the experimental data. In addition, the impact of the process parameters (tool rotational speed and weld-traverse speed) on the mechanical properties of the joint was determined by Taguchi Grey relational analysis.
Findings
Subsequently, testing and validation of the ANN were done using experimental data, which were not used for training the network. From the experiment, it was inferred that the outcomes of the ANN are in good agreement with the experimental data. The result of the analyses showed that the tool rotational speed has more impact than the weld-traverse speed.
Originality/value
The developed neural network can be used to predict the mechanical properties of the weld. Results indicate that the network prediction is similar to the experiment results. Overall regression value computed for training, validation and testing is greater than 0.9900 for both tensile strength and microhardness. In addition, the percentage error between experimental and predicted values was found to be minimal for the mechanical properties of the weldments. Therefore, it can be concluded that ANN is a potential tool for predicting the mechanical properties of the weld formed by FSW process. Similarly, the results of Taguchi Grey relational analysis can be used to optimize the process parameters of the weld process and it can be applied extensively to ascertain the most prominent factor. The results of which indicates that rotational speed of 1,270 rpm and traverse speed of 30 mm/min are to be the optimized process parameters. The result also shows that tool rotational speed has more impact on the mechanical properties of the weld than that of traverse speed.
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Pranakusuma Sudhana, Noermijati Noermijati, Ananda Sabil Hussein and Nur Khusniyah Indrawati
This paper aims to propose a conceptual framework to bridge the gap between the dimensions of brand equity (brand awareness, brand association and perceived quality) and the…
Abstract
Purpose
This paper aims to propose a conceptual framework to bridge the gap between the dimensions of brand equity (brand awareness, brand association and perceived quality) and the purchase intention of transnational higher education.
Design/methodology/approach
The paper revisits and critically reviews the concepts of marketing in higher education, brand equity, and self-congruity as well as related past studies.
Findings
Several past empirical studies concluded that the dimensions of brand equity have been unable to significantly influence purchase intention. The review and synthesis of the literature have supported the feasibility of self-congruity to mediate the relationship, thus closing the gap. This study has been able to extend the self-congruity concept into external and internal self-congruity to fit the context of this study which is transnational higher education choice.
Originality/value
Focusing on a developing market of Indonesia, it is anticipated that the proposed model will assist the future research in branding of transnational higher education. It was hypothesized that educational brands that are congruent with prospective students' self-image both externally (from the perception by the reference group) and internally (from the perception by themselves) will be more likely to yield positive purchase intention. As a result, this study adds to the current body of knowledge in the field of transnational higher education choice which was found to be lacking.
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María de la Paz Toldos-Romero and Ma. Margarita Orozco-Gómez
The purpose of this paper is to analyze the effects of brand personality dimensions on purchase intention. Furthermore, the brand personality dimensions are compared to study the…
Abstract
Purpose
The purpose of this paper is to analyze the effects of brand personality dimensions on purchase intention. Furthermore, the brand personality dimensions are compared to study the differences between users and non-users of 12 brands.
Design/methodology/approach
An estimated 400 undergraduate students participated. They were given a questionnaire divided into two sessions (six brands of think products in one session and six brands of feel products in another session). In the end, 313 participants completed the questionnaire on the six brands of think products, and 320 completed the questionnaire on the six brands of feel products.
Findings
Multiple regression analysis revealed that Hipness/Vivacity, Success, Sincerity and Sophistication brand personality dimensions are significant predictors of purchase intention. In addition, Domesticity/Emotionality and Professionalism also explain purchase intention but with a negative weight. The results are also broken down into product categories. Compared with non-users of the brands, the users rate the brands higher in all the brand personality dimensions.
Practical implications
This paper should prove useful to marketing practitioners to understand how Mexican customers perceive their brands and those of their competitors and, therefore, to understand what competitors of these brands can do to increase purchase intention.
Originality/value
The results found regarding purchase intention are important, as they can be used to identify those personality brand dimensions that appear to be most important in explaining consumer preferences.
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This study aims to investigate the impact of foreign direct investment (FDI) on national digital capability, specifically differentiating the impact between FDI greenfield and…
Abstract
Purpose
This study aims to investigate the impact of foreign direct investment (FDI) on national digital capability, specifically differentiating the impact between FDI greenfield and mergers and acquisitions (M&A). The research also investigates factors shaping digital capabilities, encompassing government transparency and absorptive capability, while exploring the mediating influence of absorptive capability in the FDI–digital capability relationship.
Design/methodology/approach
An econometric model has been developed to examine the interrelationship between national digital capability, FDI inflows, national absorptive capability and government transparency. The data set encompasses 55 countries over a period of nine years (2013–2021). National digital capability data is derived from the well-established index published by the World Competitive Centre (WCC). The sources of the explanatory variables align with standard practices, drawing from reputable institutions (UNCTAD and the World Bank, among others).
Findings
The findings reveal a significant positive impact of FDI, particularly in greenfield investments, on national digital capability. Government transparency and research and development (R&D) investment are crucial factors contributing to digital capabilities. Additionally, the absorptive capacity, reflected by R&D investment, also emerges as a potential moderating factor, influencing the impact of FDI inflows on digital capabilities.
Practical implications
The results recommend that policymakers and stakeholders should carefully consider the role of FDI, especially in greenfield investments, as a catalyst for enhancing national digital capability. The findings also underscore the significance of promoting government transparency and directing investments towards R&D to nurture digital capabilities. Moreover, understanding the mediating role of absorptive capability can inform strategies aimed at optimizing the impact of FDI on digital capabilities.
Originality/value
This study contributes uniquely to the existing literature by being the first to systematically explore the influence of FDI on national digital capability. Furthermore, it presents innovative empirical findings on the role of absorptive capability in enhancing the FDI impact on national digital capability, an area that remains relatively uncharted in current literature.
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Roberto Eduardo Quintal-Palomo, Maciej Gwozdziewicz and Mateusz Dybkowski
The purpose of this paper is to obtain an accurate methodology for modelling and analysis of the permanent magnet synchronous generator connected to power electronic components.
Abstract
Purpose
The purpose of this paper is to obtain an accurate methodology for modelling and analysis of the permanent magnet synchronous generator connected to power electronic components.
Design/methodology/approach
This paper presents the methodology of the co-simulation of a permanent magnet synchronous generator. It combines Simulink, Maxwell and Simplorer software to demonstrate the electrical machine behaviour connected with the power electronics’ circuit. The finite element analysis performed on the designed machine exhibit a more accurate behaviour over simplified Simulink models. Results between both simulation and co-simulation are compared to measurements.
Findings
The co-simulation approach offers a more accurate depiction of the machine behaviour and its interaction with the non-linear circuits.
Research limitations/implications
This paper focuses on the interior permanent magnet type of PMSG and its interaction with a passive rectifier (nonlinear circuit).
Practical implications
The advanced capabilities of the co-simulation method allow to analyse more variations (geometry, materials, etc.), and its interaction with non-linear circuits, than previous simulation techniques.
Originality/value
The co-simulation as a tool for analysis and design of systems interconnected with unconventional and conventional electrical machines and prototypes, and the comparison of the obtained results with classical analysis and design methods, against measurements obtained from the prototype.
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Hector Martin, Fey Mohammed, Kevin Lal and Shannon Ramoutar
There are limited studies addressing how choosing a maintenance strategy can contribute towards maximising outputs from given inputs, thereby minimising costs and improving a…
Abstract
Purpose
There are limited studies addressing how choosing a maintenance strategy can contribute towards maximising outputs from given inputs, thereby minimising costs and improving a company’s competitiveness. The analytic hierarchy constant sum method (AHCSM) is used to access the appropriateness of maintenance strategies for improving the overall efficiency of a structural steel fabrication construction company.
Design/methodology/approach
A semi-structured interview was formulated with the stakeholders of the quality department to understand the company’s maintenance portfolio and its current functional capability. The information from this case study was then dissected to represent the factors that the company deemed appropriate for evaluating their maintenance strategy. The AHCSM approach provided a framework, which ranked the importance of factors that are sensitive to the construction industry and rank the suitability of maintenance strategies.
Findings
Factors affecting the selection of maintenance strategies to improve business efficiency are productivity, quality, reliability, cost, safety and work environment, morale, inventory and flexibility. Total productive maintenance strategy produces the most desirable outcome; however, the predictive or condition-based maintenance strategy provides an optimum solution for the case study company while considering the equipment usage, frequency of production and the current economic climate.
Originality/value
The approach presented allows practitioners to consider ways to increase the level of production and improve the efficiency of construction businesses without a high increase in investment. The findings can inform gaps in existing maintenance approaches in achieving business objectives.
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Ahmed Bekhadda, Ismail Bensaid, Abdelmadjid Cheikh and Bachir Kerboua
The purpose of this paper is to study the static buckling and free vibration of continuously graded ceramic-metal beams by employing a refined higher-order shear deformation…
Abstract
Purpose
The purpose of this paper is to study the static buckling and free vibration of continuously graded ceramic-metal beams by employing a refined higher-order shear deformation, which is also the primary goal of this paper.
Design/methodology/approach
The proposed model is able to catch both the microstructural and shear deformation impacts without employing any shear correction factors, due to the realistic distribution of transverse shear stresses. The material properties are supposed to vary across the thickness direction in a graded form and are estimated by a power-law model. The equations of motion and related boundary conditions are extracted using Hamilton’s principle and then resolved by analytical solutions for calculating the critical buckling loads and natural frequencies.
Findings
The obtained results are checked and compared with those of other theories that exist in the literature. At last, a parametric study is provided to exhibit the influence of different parameters such as the power-law index, beam geometrical parameters, modulus ratio and axial load on the dynamic and buckling characteristics of FG beams.
Originality/value
Searching in the literature and to the best of the authors’ knowledge, there are limited works that consider the coupled effect between the vibration and the axial load of FG beams based on new four-variable refined beam theory. In comparison with a beam model, the number of unknown variables resulting is only four in the general cases, as against five in the case of other shear deformation theories. The actual model represents a real distribution of transverse shear effects besides a parabolic arrangement of the transverse shear strains over the thickness of the beam, so it is needless to use of any shear correction factors.
Sankit Kassa, Prateek Gupta, Manoj Kumar, Thompson Stephan and Ramani Kannan
In nano-scale-based very large scale integration technology, quantum-dot cellular automata (QCA) is considered as a strong and capable technology to replace the well-known…
Abstract
Purpose
In nano-scale-based very large scale integration technology, quantum-dot cellular automata (QCA) is considered as a strong and capable technology to replace the well-known complementary metal oxide semiconductor technology. In QCA technique, rotated majority gate (RMG) design is not explored greatly, and therefore, its advantages compared to original majority gate are unnoticed. This paper aims to provide a thorough observation at RMG gate with its capability to build robust circuits.
Design/methodology/approach
This paper presents a new methodology for structuring reliable 2n-bit full adder (FA) circuit design in QCA utilizing RMG. Mathematical proof is provided for RMG gate structure. A new 1-bit FA circuit design is projected here, which is constructed with RMG gate and clock-zone-based crossover approach in its configuration.
Findings
A new structure of a FA is projected in this paper. The proposed design uses only 50 number of QCA cells in its implementation with a latency of 3 clock zones. The proposed 1-bit FA design conception has been checked for its structure robustness by designing various 2, 4, 8, 16, 32 and 64-bit FA designs. The proposed FA designs save power from 46.87% to 25.55% at maximum energy dissipation of circuit level, 39.05% to 23.36% at average energy dissipation of circuit-level and 42.03% to 37.18% at average switching energy dissipation of circuit level.
Originality/value
This paper fulfills the gape of focused research for RMG with its detailed mathematical modeling analysis.
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Rajamohana Kuselan and Venkatesan Sundharajan
This study aims to extend the driving range by on-board charging with use of photovoltaic (PV) source, avoiding the dependency on the grid supply and energy storage system in…
Abstract
Purpose
This study aims to extend the driving range by on-board charging with use of photovoltaic (PV) source, avoiding the dependency on the grid supply and energy storage system in addition to that reduce the conversion complexity influenced on converter section of electric vehicle (EV) system.
Design/methodology/approach
This paper proposed a PV fed integrated converter topology called integrated single-input multi-output (I-SIMO) converter with enriched error tolerant fuzzy logic controller (EET-FLC) based control technique to regulate the speed of brushless direct current motor drive. I-SIMO converter provides both direct current (DC) and alternating current (AC) outputs from a single DC input source depending on the operation mode. It comprises two modes of operation, act as DC–DC converter in vehicle standby mode and DC–AC converter in vehicles driving mode.
Findings
The use of PV panels in the vehicle helps to reduce dependence of grid supply as well as vehicle’s batteries. The proposed topology has to remove the multiple power conversion stages in EV system, reduce components count and provide dual outputs for enhancement of performance of EV system.
Originality/value
The proposed topology leads to reduction of switching losses and stresses across the components of the converter and provides reduction in system complexity and overall expenditure. So, it enhances the converter reliability and also improves the efficiency. The converter provides ripple-free output voltage under dynamic load condition. The performance of EET-FLC is studied by taking various performance measures such as rise time, peak time, settling time and peak overshoot and compared with conventional control designs.