S. Shivaprasada Nayaka, T.K. Sreelakshmi and Santosh Kumar
In this paper, the author defines the function
Abstract
Purpose
In this paper, the author defines the function
Design/methodology/approach
Andrews introduced to combinatorial objects, which he called singular overpartitions and proved that these singular overpartitions depend on two parameters δ and i can be enumerated by the function
Findings
Using classical spirit of q-series techniques, the author obtains congruences modulo 4 for
Originality/value
The results established in this work are extension to those proved in Andrews’ singular overpatition pairs of n.
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Harish A. Jartarghar, M.N. Kruthi, B. Karuntharaka, Azra Nasreen, T. Shankar, Ramakanth Kumar and K. Sreelakshmi
With the rapid advancement of lifestyle and technology, human lives are becoming increasingly threatened. Accidents, exposure to dangerous substances and animal strikes are all…
Abstract
Purpose
With the rapid advancement of lifestyle and technology, human lives are becoming increasingly threatened. Accidents, exposure to dangerous substances and animal strikes are all possible threats. Human lives are increasingly being harmed as a result of attacks by wild animals. Further investigation into the cases reported revealed that such events can be detected early on. Techniques such as machine learning and deep learning will be used to solve this challenge. The upgraded VGG-16 model with deep learning-based detection is appropriate for such real-time applications because it overcomes the low accuracy and poor real-time performance of traditional detection methods and detects medium- and long-distance objects more accurately. Many organizations use various safety and security measures, particularly CCTV/video surveillance systems, to address physical security concerns. CCTV/video monitoring systems are quite good at visually detecting a range of attacks associated with suspicious behavior on the premises and in the workplace. Many have indeed begun to use automated systems such as video analytics solutions such as motion detection, object/perimeter detection, face recognition and artificial intelligence/machine learning, among others. Anomaly identification can be performed with the data collected from the CCTV cameras. The camera surveillance can generate enormous quantities of data, which is laborious and expensive to screen for the species of interest. Many cases have been recorded where wild animals enter public places, causing havoc and damaging lives and property. There are many cases where people have lost their lives to wild attacks. The conventional approach of sifting through images by eye can be expensive and risky. Therefore, an automated wild animal detection system is required to avoid these circumstances.
Design/methodology/approach
The proposed system consists of a wild animal detection module, a classifier and an alarm module, for which video frames are fed as input and the output is prediction results. Frames extracted from videos are pre-processed and then delivered to the neural network classifier as filtered frames. The classifier module categorizes the identified animal into one of the several categories. An email or WhatsApp notice is issued to the appropriate authorities or users based on the classifier outcome.
Findings
Evaluation metrics are used to assess the quality of a statistical or machine learning model. Any system will include a review of machine learning models or algorithms. A number of evaluation measures can be performed to put a model to the test. Among them are classification accuracy, logarithmic loss, confusion matrix and other metrics. The model must be evaluated using a range of evaluation metrics. This is because a model may perform well when one measurement from one evaluation metric is used but perform poorly when another measurement from another evaluation metric is used. We must utilize evaluation metrics to guarantee that the model is running correctly and optimally.
Originality/value
The output of conv5 3 will be of size 7*7*512 in the ImageNet VGG-16 in Figure 4, which operates on images of size 224*224*3. Therefore, the parameters of fc6 with a flattened input size of 7*7*512 and an output size of 4,096 are 4,096, 7*7*512. With reshaped parameters of dimensions 4,096*7*7*512, the comparable convolutional layer conv6 has a 7*7 kernel size and 4,096 output channels. The parameters of fc7 with an input size of 4,096 (i.e. the output size of fc6) and an output size of 4,096 are 4,096, 4,096. The input can be thought of as a one-of-a-kind image with 4,096 input channels. With reshaped parameters of dimensions 4,096*1*1*4,096, the comparable convolutional layer conv7 has a 1*1 kernel size and 4,096 output channels. It is clear that conv6 has 4,096 filters, each with dimensions 7*7*512, and conv7 has 4,096 filters, each with dimensions 1*1*4,096. These filters are numerous, large and computationally expensive. To remedy this, the authors opt to reduce both their number and the size of each filter by subsampling parameters from the converted convolutional layers. Conv6 will use 1,024 filters, each with dimensions 3*3*512. Therefore, the parameters are subsampled from 4,096*7*7*512 to 1,024*3*3*512. Conv7 will use 1,024 filters, each with dimensions 1*1*1,024. Therefore, the parameters are subsampled from 4,096*1*1*4,096 to 1,024*1*1*1,024.
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Kakanuti Malleswari and Sarojamma G.
This study aims to explore the thermal energy diffusion and flow features of a hybrid nanofluid in a thin film. In particular, the focus is to elicit the impact of shape factor in…
Abstract
Purpose
This study aims to explore the thermal energy diffusion and flow features of a hybrid nanofluid in a thin film. In particular, the focus is to elicit the impact of shape factor in the backdrop of a magnetic field. The hybrid nanofluid is the amalgamation of various shaped nanoscale particles of copper and alumina in water.
Design/methodology/approach
The equations of motion and energy are modeled using the Tiwari–Das model. The differential equations governing the physics of the designed model have been obtained by the application of scaling analysis. To achieve quantitative outcomes, Runge–Kutta–Fehlberg numerical code along with shooting techniques is used. Validation of the derived outcomes with available data in literature reveals a greater accuracy of the numerical procedure used in this investigation.
Findings
The dynamics of the slender nano liquid film is explored eliciting the impact of various flow parameters. The rate of energy transport of the Cu-Al2O3/ water with blade-shaped nanoparticle, at a fixed Prandtl number (=2) is enhanced by 14.7% compared to that evaluated with spherical particles. The presence of hybrid nanoparticles has an affirmative impact in boosting the rate of heat transfer (RHT). The temperature and the rate of thermal diffusion of the hybrid nanofluid are more prominent than those of the Cu-H2O case. The numerical outcomes of this investigation are collated with the already published works as a limiting case and are found to be in good agreement.
Originality/value
The adopted methodology helped to obtain the results of the present problem. To the best of authors’ knowledge, it can be shown that the originality of the work with the table of comparison. There is a good agreement between present outcomes with the existed results.
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Narayanage Jayantha Dewasiri, Karunarathnage Sajith Senaka Nuwansiri Karunarathna, M. Shanika Hansini Rathnasiri, Kiran Sood and Aarti Saini
This study aims to determine the impact of health-related views on mobile payment adoption in Sri Lanka from a broader viewpoint. The scale used to quantify each construct was…
Abstract
This study aims to determine the impact of health-related views on mobile payment adoption in Sri Lanka from a broader viewpoint. The scale used to quantify each construct was based on earlier research, with modest alterations to fit the pandemic situation. First, an online survey was administered to undergraduates using convenience sampling to acquire appropriate replies. Eliminating incomplete and unusable questionnaires, 266 responses were gathered with an 88.7% response rate. Finally, after removing incomplete and ineffective questionnaires, 243 responses were selected for the analysis. Health consciousness, perceived ease of use, and usefulness have a significant positive relationship between attitude and behavioural intention to mobile payments. Moreover, the attitude has a significant positive relationship with mobile payment usage. As the health consciousness increases the usefulness and intention to use mobile payments, bank managers can focus on this new customer segment. Accordingly, they can use their promotional campaigns to highlight the importance of shifting towards m-payments during the pandemic times. This is the first study that investigates the role of health-related perceptions on the mobile payment adoption in Sri Lanka to the best of the authors’ knowledge.
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Pooja Goel, Aashish Garg, Anuj Sharma and Nripendra P. Rana
Several industries including banking are booming because of COVID-19. However, it is still unknown whether this growth is momentary or permanent in nature. Hence, this study aims…
Abstract
Purpose
Several industries including banking are booming because of COVID-19. However, it is still unknown whether this growth is momentary or permanent in nature. Hence, this study aims to identify the role of health-related concerns and trust as stimuli on M-payment loyalty.
Design/methodology/approach
Data were collected through Google Forms from 431 participants. Subjects were M-payment users. The hypothesized model was tested using structural equational modeling.
Findings
Results of the study indicate that perceived severity and trust act as stimuli for M-payment loyalty. Further, trust not only influences loyalty directly but also through intimacy. Additionally, no linear relationship was found between perceived usefulness and M-payment loyalty.
Originality/value
This work is an early attempt to consider health-related concerns and trust as stimuli to predict M-payment loyalty. Further, this study focused on three new constructs, namely perceived severity, perceived susceptibility and intimacy, that are underexplored in digital banking literature.
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R.S. Vignesh and M. Monica Subashini
An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories…
Abstract
Purpose
An abundance of techniques has been presented so forth for waste classification but, they deliver inefficient results with low accuracy. Their achievement on various repositories is different and also, there is insufficiency of high-scale databases for training. The purpose of the study is to provide high security.
Design/methodology/approach
In this research, optimization-assisted federated learning (FL) is introduced for thermoplastic waste segregation and classification. The deep learning (DL) network trained by Archimedes Henry gas solubility optimization (AHGSO) is used for the classification of plastic and resin types. The deep quantum neural networks (DQNN) is used for first-level classification and the deep max-out network (DMN) is employed for second-level classification. This developed AHGSO is obtained by blending the features of Archimedes optimization algorithm (AOA) and Henry gas solubility optimization (HGSO). The entities included in this approach are nodes and servers. Local training is carried out depending on local data and updations to the server are performed. Then, the model is aggregated at the server. Thereafter, each node downloads the global model and the update training is executed depending on the downloaded global and the local model till it achieves the satisfied condition. Finally, local update and aggregation at the server is altered based on the average method. The Data tag suite (DATS_2022) dataset is used for multilevel thermoplastic waste segregation and classification.
Findings
By using the DQNN in first-level classification the designed optimization-assisted FL has gained an accuracy of 0.930, mean average precision (MAP) of 0.933, false positive rate (FPR) of 0.213, loss function of 0.211, mean square error (MSE) of 0.328 and root mean square error (RMSE) of 0.572. In the second level classification, by using DMN the accuracy, MAP, FPR, loss function, MSE and RMSE are 0.932, 0.935, 0.093, 0.068, 0.303 and 0.551.
Originality/value
The multilevel thermoplastic waste segregation and classification using the proposed model is accurate and improves the effectiveness of the classification.
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Farjana Nur Saima, Md. H. Asibur Rahman and Ratan Ghosh
The usage rate of mobile financial services (MFS) has shown an uptick since the emergence of the COVID-19 pandemic in Bangladesh. This study aims to reveal the underpinning…
Abstract
Purpose
The usage rate of mobile financial services (MFS) has shown an uptick since the emergence of the COVID-19 pandemic in Bangladesh. This study aims to reveal the underpinning reasons for such MFS surge and its continuance by integrating health belief model (HBM) and expectation confirmation model (ECM).
Design/methodology/approach
The study analyzes 529 MFS users' responses during the second wave of the COVID-19 outbreak in Bangladesh using the partial least square method.
Findings
Satisfaction is more predictive than perceived usefulness in explaining continuance usage intention. Expectation confirmation also indirectly affects continuance intention. Among the HBM constructs, the indirect effect of perceived severity on continuance intention via perceived usefulness and satisfaction is significant. Besides, the impact of self-efficacy on continuance intention is also significant. Moreover, perceived credibility significantly affects satisfaction and indirectly affected continuance usage intention via satisfaction.
Practical implications
The study projects boosting customers' satisfaction is critical for the successful retention of existing MFS customers. MFS service providers should emphasize the factors that amplify satisfaction. They must evaluate preadoption factors so that customers can have positive confirmation. Especially, the service providers, the policymakers and the regulators should take an active role in improving the users' self-efficacy and the system's credibility. Undertaking the MFS literacy program, installing hotline service to provide emergency help will boost users' confidence in using the system.
Originality/value
The study is a unique contribution in the context of Bangladesh. To the best of the authors’ knowledge, no previous MFS studies in Bangladesh explored MFS continuance usage intention during COVID-19 and beyond. Besides, the inclusion of “perceived credibility” in the framework will supplement the earlier studies conducted on this aspect.
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The research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an…
Abstract
Purpose
The research purpose is to explore the diffusion of mobile QR-code payment (MQP) in a coronavirus disease (COVID-19) context by formulating a behavioral response model based on an integration between protection motivation theory (PMT) and unified theory of acceptance and use of technology (UTAUT). This study also investigates the importance of physical distancing norm for behavioral intention toward MQP.
Design/methodology/approach
A web-based survey was designed and data were accumulated from 411 validated respondents who have used MQP or tend to utilize it in Vietnam. Statistical analysis was conducted using SPSS and AMOS to verify the hypotheses.
Findings
Results illustrated that behavioral intention is motivated by key antecedents of PMT (including perceived severity, perceived susceptibility and self-efficacy) and important factors of UTAUT (including performance expectancy, effort expectancy and social influence), and physical distancing norm. Moreover, perceived severity promotes performance expectancy, whereas self-efficacy boosts effort expectancy in MQP. Lastly, behavioral intention and recommendation were indicators of the diffusion of MQP under COVID-19.
Practical implications
MQP is just in its infant stage in Vietnam; thus, the findings provide managerial implications, which will aid service providers and firms to adopt marketing strategies that enhance consumers' acceptability and recommendation of MQP to the public.
Originality/value
Little is empirically considered the effects of perceived threat-related factors in PMT and physical distancing norm on behavioral intention toward MQP in a salient pandemic setting. Furthermore, the antecedents in UTAUT contribute greatly to behavioral intention. This study enlightens the diffusion of MQP based on behavioral intention and recommendation.
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Osaro Aigbogun, Mathews Matinari and Olawole Fawehinmi
The purpose of this study is to empirically explore the predictors of e-marketing use continuance intention in the pharmaceutical business to business (B2B) supply chain during…
Abstract
Purpose
The purpose of this study is to empirically explore the predictors of e-marketing use continuance intention in the pharmaceutical business to business (B2B) supply chain during the COVID-19 pandemic.
Design/methodology/approach
This study adopted survey research strategy, and data were collected from managers dealing with marketing in 127 pharmaceutical firms in Harare Zimbabwe using a self-reported questionnaire. Partial least squares structural equation modeling (PLS-SEM) was employed to test the hypotheses.
Findings
Leadership support and perceived usefulness are significant predictors of e-marketing continuance intentions. The effect of perceived susceptibility and perceived severity on e-marketing use continuance intention was not significant. Perceived usefulness is a positive moderator in the relationship among leadership support, perceived susceptibility and e-marketing use continuance intention. However, the moderating effect of perceived usefulness created a significant but negative relationship between perceived severity and e-marketing use continuance intention.
Originality/value
This study provides empirical evidence of the moderating role of perceived usefulness in the relationships between e-marketing continuance intention and its predictors.
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M. Gnaneswara Reddy, P. Vijaya Kumari, G. Upender Reddy, K. Ganesh Kumar and B. C. Prasannakumara
The main theme of this paper is the effect of viscous dissipation Darcy–Forchheimer flow and heat transfer augmentation of a viscoelastic fluid over an incessant moving needle.
Abstract
Purpose
The main theme of this paper is the effect of viscous dissipation Darcy–Forchheimer flow and heat transfer augmentation of a viscoelastic fluid over an incessant moving needle.
Design/methodology/approach
The governing partial differential equations of the current problem are diminished into a set of ordinary differential equations using requisite similarity transformations. Energy equation is extended by using Cattaneo–Christov heat flux model with variable thermal conductivity. By applying boundary layer approximation system of equations is framed.
Findings
Convective condition is also introduced in this analysis. Obtained set of similarity equations are then solved with the help of efficient numerical method four–fifth-order RKF-45.
Originality/value
The outcomes of various pertinent parameters on the velocity, temperature distributions are analysed by using portraits.