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Quadratic convective transport of Cu-Al2O3 hybrid nanoliquid with Hall current, variable suction, and exponential heat source
The time-dependent slip flow and heat transport of the Cu-Al2O3 hybrid nanofluid through a vertical permeable plate with Hall current and variable suction is investigated. An exponential heat source and quadratic convection effects are considered. The dimensionless governing equations are solved analytically using the regular perturbation method. The graph of variation of the different flow fields with respect to the distance from the plate is drawn for the analysis. It is established that the exponential heat source aspect increased the temperature profile while the quadratic convection aspect decreased the temperature profile. The applied magnetic field and nonlinear convection aspects reduce the axial velocity field. The quadratic convection and exponential space-dependent heat source phenomena are favorable to friction factors. Furthermore, the global heat transfer is increased in the presence of an exponential space dependent heat source and hybrid nanoparticles. 2021 John Wiley & Sons, Ltd. -
Cultural Constraints and Empowerment: A Study of Kudumbashree in Kerala
Women empowerment occupies the centre of discussions of social development and is carried by UNDP (United Nations Development Programme). It continues to be highly debated and contested. Different scholars have defined empowerment in a different ways depending upon the contextual variations. The study seeks to present varied theoretical perspectives on empowerment and reinforce them with current empowerment practices in Indian settings. Based on relevant literature on empowerment, an attempt has been made here to examine the definitions and its cultural and contextual variations. This provides a linkage between theory and practice of empowerment in Indian society. An ethnographic study of Kudumbashree, a women organization in Kerala is been carried out where the contextual variations of empowerment is covered. Women empowerment has multiple implications for patriarchal surroundings and has possessed problems in re-engaging with structural inequalities like caste and class identities of women. All these create a plethora of problems to Indian society and empowerment among women helps in solving and eradicating such problems. Hence the study attempts to find out how Kudumbashree negotiates the contextual and structural issues of women empowerment. The problems faced by women tend to increase day by day and studying topics likes these helps in minimizing it thereby providing a better understanding about the concept of women empowerment. The researcher concludes the study by mentioning the contextual and dynamic variations of empowerment. There is no universally accepted definition for empowerment where it varies according to the subjective locations of individuals. For instance; empowerment for a woman in a scheduled caste or lower caste women varies to that of upper caste women. -
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Some results on b-chromatic topological indices of some graphs
Graph coloring is assigning weights, integers, or colors to edges, vertices, or both in a graph subject to certain conditions. Proper coloring C of graph G refers to assigning weights, integers, or colors to the vertices, edges, or both so that adjacent vertices or adjacent edges get a different color. A b-coloring follows proper vertex coloring with subject to an additional property that each color class should have at least one vertex with a neighbor in all the other color classes. The notion of Chromatic Zagreb index and irregularity index was introduced recently. This paper introduces the concept of b-Chromatic Zagreb indices and b-Chromatic irregularity indices. Also, we compute these indices for certain standard classes of graphs. 2023 Author(s). -
QSPR Analysis On Octane Isomers Using Degree-Based Topological Indices?
Octane isomers are structures with the chemical formula C8H18. Despite having the same formula, they have variations in the way their atoms are arranged, leading to differences in their chemical and physical properties. In this paper, we conduct a QSPR analysis on various isomers of octane, focusing on specific degree-based topological indices. In QSPR studies, these measures, known as topological indices, are helpful in understanding and quantifying the biological effects of chemical compounds. We specifically look at how certain properties of octane, such as complexity, acentric factor, standard enthalpy of vaporization, entropy, and enthalpy of vaporization, are connected to these topological indices. Our research provides valuable insights into how these indices can predict the behavior of octane isomers, contributing to a better overall understanding of their properties. 2024, Tsing Hua University. All rights reserved. -
COMPUTATION OF b-CHROMATIC TOPOLOGICAL INDICES OF SOME GRAPHS AND ITS DERIVED GRAPHS
The two fastest-growing subfields of graph theory are graph coloring and topological indices. Graph coloring is assigning the colors/values to the edges/vertices or both. A proper coloring of the graph G is assigning colors/values to the vertices/edges or both so that no two adjacent vertices/edges share the same color/value. Recently, studies involving Chromatic Topological indices that dealt with different graph coloring were studied. In such studies, the vertex degrees get replaced with the colors, and the computation is carried out based on the topological index of our choice. We focus on b-Chromatic Zagreb indices and b-Chromatic irregularity indices in this work. This paper discusses the b-Chromatic Zagreb indices and b-Chromatic irregularity indices of the gear graph, star graph, and its derived graphs such as the line and middle graph. 2023, RAMANUJAN SOCIETY OF MATHEMATICS AND MATHEMATICAL SCIENCES. All rights reserved. -
RAINBOW CHROMATIC TOPOLOGICAL INDICES OF CENTRAL GRAPHS OF SOME GRAPHS
The chromatic topological indices concept was introduced recently. Many other variations concerning the chromatic topological indices have been studied lately. In this paper, we have calculated the first and second rainbow chromatic Zagreb indices and rainbow chromatic irregularity indices for central graph of some standard graph classes. Palestine Polytechnic University-PPU 2024. -
A Study on Coloring Parameters and Topological Indices of Graphs
Graph coloring/labeling is a fundamental concept in graph theory that involves the assignment of weights, integers, or colors to the vertices/edges or both of a graph while adhering to specifc constraints. Graph colorings serve as a powerful mathematical model with broad applications in real-world scenarios, including network analysis, genomics, routing, optimization techniques, and digital networks. A research domain is established in which vertices of a graph are colored based on specifc conditions, and color degrees are taken into consideration leading to the exploration of chromatic topological indices and various chromatic polynomials. The introduction of chromatic topological indices in response to challenges in chemical graph theory has sparked signifcant research interest, creating a dynamic and expansive feld within graph theory. Motivated by this our study presents a comprehensive exploration of topological indices in the context of graph theory, specifcally focusing on the Zagreb index and its chromatic variants. The study calculates the frst and second rainbow chromatic Zagreb indices, rainbow chromatic irregularity indices, and rainbow chromatic total irregularity indices for well-known graph classes. Later, introduced the concept of b-chromatic Zagreb indices and b-chromatic irregularity indices and calculated the exact values for some standard graphs. Further, the rainbow chromatic topological indices and b-chromatic topological indices for various newlinederived graphs such as line, middle, total, and central graphs of some graph classes are determined. Novel graph polynomials, namely the b-chromatic Zagreb polynomials and b-chromatic irregularity polynomials, are introduced for some classes of graphs and the derived graphs such as degree splitting graph, mycielski graph. This comprehensive approach not only enhances our theoretical understanding of graph coloring but also oand#64256;ers practical insights into the predictive power of chromatic topological indices in diverse chemical contexts. -
LRD: Loop Free Routing Using Distributed Intermediate Variable in Mobile Adhoc Network
One of the critical challenges in the design of the mobile adhoc networks is to design an efficient routing protocol. Mobility is an unique characteristics of wireless network, which leads to unreliable communication links and loss of data packets. We present a new algorithm, Loop Free Routing with DIV (LRD) is introduced which prevents loops and count to infinity problem using intermediate variables. In addition it finds the shortest path between source and destination. The analysis shows that DIV is compatible with all the routing protocol as it is independent of the underlying environment. The proposed algorithm LRD is compared with the existing algorithm of DIV to prove its applicability in the any routing environment. The simulation results show that LRD excels AODV routing protocol while considering throughput and packet delivery ratio. The new algorithm assures that the routing protocol is shortest loop-free path and outperforms all other loop-free routing algorithms previously proposed from the stand point of complexities and computations. Springer Nature Switzerland AG 2020. -
Decision Tree Based Routing Protocol (DTRP) for Reliable Path in MANET
In mobile ad hoc network due to node movements, there exists route failure in active data transmission which results in data loss and communication overheads. Hence, in such a dynamic network, routing through reliable path is one of the tedious tasks. In this paper, we propose a novel Decision Tree based Routing Protocol (DTRP) a data mining technique in route selection process from source to destination. The proposed DTRP protocol selects the one hop neighbors based on the parameters such as speed, Link Expiration Time, trip_time and node life time. Thus the performance of a route discovery mechanism is enhanced by selecting the stable one-hop neighbors along the path to reach the destination. The simulated results show that the lifetime of the route is increased and hence the data loss and end to end delay are minimized thereby increasing the throughput of the network using the proposed DTRP routing protocol compared to existing routing protocols. 2019, Springer Science+Business Media, LLC, part of Springer Nature. -
IoT enabled lung cancer detection and routing algorithm using CBSOA-based ShCNN
The Internet of Things (IoT) has tremendously spread worldwide, and it influenced the world through easy connectivity, interoperability, and interconnectivity using IoT devices. Numerous techniques have been developed using IoT-enabled health care systems for cancer detection, but some limitations exist in transmitting the health data to the cloud. The limitations can be accomplished using the proposed chronological-based social optimization algorithm (CBSOA) that effectively transmits the patient's health data using IoT network, thereby detecting lung cancer in an effective way. Initially, nodes in the IoT network are simulated such that patient's health data are collected, and for transmission of such data, routing is performed in order to transmit the health data from source to destination through a gateway based on cloud service using CBSOA. The fitness is newly modeled by assuming the factors like energy, distance, trust, delay, and link quality. Finally, lung cancer detection is carried out at the destination point. At the destination point, the acquired input data is fed to preprocessing phase to make the data acceptable for further mechanism using data normalization. Once the feature selection is done using Canberra distance, then the lung cancer detection is performed using shepard convolutional neural network (ShCNN). The process of routing as well as training of ShCNN is performed using the CBSOA algorithm, which is devised by the inclusion of the chronological concept into the social optimization algorithm. The proposed approach has achieved a maximum accuracy of 0.940, maximum sensitivity of 0.941, maximum specificity of 0.928, and minimum energy of 0.452. 2022 John Wiley & Sons Ltd. -
Forecasting NIFTY 50 in Volatile Markets Using RNNLSTM: A Study on the Performance of Neural Network Models During the COVID-19 Pandemic
The COVID-19 pandemic has shown us how the market can be highly uncertain and volatile at certain times. This brings a new level of challenges to all the investors and active traders in the market, as they have not seen such a movement in the past. However, as technology is evolving, highly sophisticated tools and techniques are being used by hedge funds and other investment banks to track down these movements and turn this into an opportunity. In this paper, we try to analyse how recurrent neural network (RNN) with long- and short-term memory architecture performs under volatile market conditions. For this study, we tried to perform a comparative analysis between two models within two successive time periods, where one is trained in a volatile market condition and the other in a relatively low volatile market condition. The results showed that the RNN model is less accurate in predicting the prices in a volatile market compared to a relatively low volatile market. We also compared these two models to a separate model where we trained using the combined data from the two successive time periods. Even though the addition in data points for the neural network produced a better result compared to the model trained under volatile conditions, it did not significantly perform better than the model, which was trained in the low volatile period. 2022 Management Development Institute. -
Smartphone based indoor localization and tracking model using bat algorithm and Kalman filter
In recent days, accurate localization becomes essential for enabling smartphone-based navigation to attain maximum accuracy in the construction of the real world.Fingerprint-based localization is the widespread solution to achieve and assure effective performance. In this study, a new fingerprint-based localization model using a bat algorithm (BA) is presented stimulated by the echolocation nature of microbats. The presented model adapts BA for estimating the location information. Initially, the presented model applies a Bayesian-rule based objective function. Then, the BA is used for improving the accuracy and analyzing the effects of the initial position of the bats on the localization outcome. For mitigating the estimation error, the Kalman filter is employed for updating the initially determined position using the BA for tracking purposes. The experimental analysis indicated an improvement in real-time performance and decrease in computation complexity. The presented model also obtained maximum localization accuracy with minimum localization error over the compared methods. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. -
An Approach to Introduce Mobile Application Development for Teaching and Learning by Adapting Allans Dual Coding Theory
This paper reveals around methodology that could be powerful to teach mobile applications in a class by including a decent utilization of innovative technology alongside a system. Appraisal instruments within the cloud were utilized to encourage this sort of methodology toward teaching application development. The new methodology is executed by teaching in the lab with desktops or in the classroom with students laptops. It adapted Allans dual code Theory. The adequacy of this methodology is obvious through an examination of outcomes. 2020, Springer Nature Switzerland AG. -
Sustainable Supply Chain Analytics for Anomalously Potential Fraudulent Logistics
The primary focus of this research is to detect potential anomalous and fraudulent cotton ginning transactions. The analysis of monitoring systems utilizing substantial analytics is often time-consuming and requires painstaking analysis afterward. In addition, the paper discusses how Third-Party Logistics affects the warehousing process and its antidromic role in distribution channels. Data for this study came from an established cotton gin operation in Tanganyika/Tanzania-East Africa. Ultimately, the results should allow cotton ginning to be improved by understanding anomalous activities. Cotton ginning fraud will be explained for the first time in scholarly journals using supply chain analytics. 2022 IEEE. -
Understanding the antecedents of service decisions: An integration of service promiscuity and customer citizenship behaviour
Promiscuity being casual and unrestrained towards any kind of service, the purpose of this article is to contribute to service literature by investigating the influence of customer citizenship behaviour and service promiscuity in the decision-making process in the context of public house services. This paper empirically draws a historic sum-up on the roots of service promiscuity towards the decision-making process. A questionnaire was administered to 1,509 pub customers using retrospective experience sampling technique. The proposed hypotheses were tested using structural equation modelling. Results from this research yielded novel insights into the dual antecedents extending to customer decision making process through customer citizenship behaviour and service promiscuity. The findings have implications for the ongoing argumentation on the practicality of customer promiscuity, thereby broadening the theoretical understanding of 'why customers' decision-making process establishes such an efficacious effect in the service environment? Further, these new and interesting results enlighten the insights of consumer behaviour and more importantly contribute substantially to the existing knowledge of service marketing literature. The results provide managers with specific decision-making process variables and substantial service strategies. 2019 Inderscience Enterprises Ltd. -
An analysis of policy prospective of taxi aggregators and consumers in digital eco-system
The term digital trade is becoming more prevalent in the modern era. Newer company structures have evolved to replace traditional methods with online companies as digitalisation has become the standard. Taxi aggregators are one of the most prevalent digital business concepts. With this particular model, which is now known as taxi aggregators, you may quickly book a cab using your smartphone for transportation inside and outside the city limits. They are also inexpensive to use. Nevertheless, as lawmakers created new and revised rules to control these business models, the last two years have been very difficult for application-based taxi providers like Ola and Uber. The regulations are being developed by legislators in several nations, but the pace and the scope are much slower than necessary. This essay will examine past and present taxi market scenarios before suggesting ways to enhance them in the future. Copyright 2024 Inderscience Enterprises Ltd. -
Growth of mobile applications and the rise of privacy issues
Mobile apps are used by more and more internet users for daily chores, but processing personal data with them poses a major security risk. The wide range of data and sensors in mobile devices, the use of different types of identifiers and the increased ability to monitor consumers, the complex mobile application ecosystem and application developer limitations, and the extensive use of third-party technologies and services, are the main risks. Privacy concerns extend beyond mobile users. Corporate executives need fast, global access to their database. White goods/smart building equipment suppliers offer mobile apps for remote use. This research study will integrate these concerns. Due to these factors, smartphone applications have struggled to enforce the General Data Protection Regulations (GDPR) data protection rules. Mobile app designers and service providers may struggle to meet GDPR rules for data disclosure and permission, data protection by design and default, and operational secrecy. Copyright 2024 Inderscience Enterprises Ltd. -
Implementing privacy and data confidentiality within the framework of the Internet of Things
Throughout the current and future worldwide Web network infrastructure, the notion of the Internet of Things (IoT) foresees the pervasive interconnection and cooperation of intelligent things. As such, the IoT is simply the next logical step in the expansion of the Web into the real world, ushering in a plethora of unique services that will enhance peoples lives, give rise to entirely new economic sectors and smarten up the physical infrastructure upon which we rely, including buildings, cities and transportation networks. As smart devices permit widespread information collection or tracking, the IoT will not be able to reach its full potential if the vision for the IoT is not implemented appropriately. These helpful characteristics are countered by concerns over confidentiality, which have, to date, hindered the viability of IoT aspirations. In the face of widespread surveillance, the management of private information and the development of tools to limit or evade pervasive monitoring and analysis are two examples of the new difficulties brought about by such dangers. This paper considers the privacy concerns raised by the Internet of Things in depth. Henry Stewart Publications 2398-1679 (2023). -
Growth of online social networking and artificial intelligence in digital domain
In this millennium years of technology, machinery is evolving daily. There is plethora of things being affected by this evolution. One of which is our practices of social networking which is largely veering to the internet. Internet social networking has become one of the biggest buzzwords. From a child to an old person, everyone is on these social networking sites and applications. Within the span of 5 to 10 years these so-called Internet social networking sites and applications have taken over the real social gathering or meetings. Now with single click you can buy or sell goods and services at any place and any time. People can connect to one another even when far from home. The pandemic times and demonetization are the two instances that made everyone switch to and accustomed to the aspects of social networking. In the particular research paper, the researcher will put forth how data privacy and security is one of the biggest concerns in this social networking. Secondly, the researcher will understand the role of Artificial Intelligence in Online Social networking and whether it is helpful or not. 2023 Author(s).